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[nazev] => An Investigation of Inherent Structural Bias in Established Benchmark Sets
[nazev_orig] => An Investigation of Inherent Structural Bias in Established Benchmark Sets
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[popis] => In this paper, we investigate the inherent structural bias of BBOB and CEC benchmark sets. First, we theoretically derive the advantage of central evaluation against random search on the Sum of Squares-like functions. We then provide an experimental analysis of the effectiveness of the central evaluation on functions from BBOB, CEC2014, and CEC2017. We utilize four variants of the Differential Evolution (DE) algorithm, in which by changing the boundary handling technique, we introduce different types of structural bias in the method and show the link between the performance of the biased DE variants and the inherent biases in the benchmark sets. We find that the high use of Sum of Squares-like functions and the BBOB-specific location of the optima give a substantial advantage to the center-biased DE variants, especially in high dimension on low function evaluation settings. On the selected CEC functions, this effect was much less pronounced.
[popis_orig] => In this paper, we investigate the inherent structural bias of BBOB and CEC benchmark sets. First, we theoretically derive the advantage of central evaluation against random search on the Sum of Squares-like functions. We then provide an experimental analysis of the effectiveness of the central evaluation on functions from BBOB, CEC2014, and CEC2017. We utilize four variants of the Differential Evolution (DE) algorithm, in which by changing the boundary handling technique, we introduce different types of structural bias in the method and show the link between the performance of the biased DE variants and the inherent biases in the benchmark sets. We find that the high use of Sum of Squares-like functions and the BBOB-specific location of the optima give a substantial advantage to the center-biased DE variants, especially in high dimension on low function evaluation settings. On the selected CEC functions, this effect was much less pronounced.
[klicova_slova] => Benchmarking; Bound Handling Techniques; Differential Evolution; Structural Bias
[klicova_slova_orig] => Benchmarking; Bound Handling Techniques; Differential Evolution; Structural Bias
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[citace_text] => IBEHEJ, D.; TZANETOS, A.; JUŘÍČEK, M.; KŮDELA, J. An Investigation of Inherent Structural Bias in Established Benchmark Sets. In Gecco 2025 Companion Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, 2025. p. 123-126. ISBN: 9798400714641.
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[citace_rtf] =>
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author="David {Ibehej} and {} and Martin {Juříček} and Jakub {Kůdela}",
title="An Investigation of Inherent Structural Bias in Established Benchmark Sets",
booktitle="Gecco 2025 Companion Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion",
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[nazev_en] => An Investigation of Inherent Structural Bias in Established Benchmark Sets
[popis_en] => In this paper, we investigate the inherent structural bias of BBOB and CEC benchmark sets. First, we theoretically derive the advantage of central evaluation against random search on the Sum of Squares-like functions. We then provide an experimental analysis of the effectiveness of the central evaluation on functions from BBOB, CEC2014, and CEC2017. We utilize four variants of the Differential Evolution (DE) algorithm, in which by changing the boundary handling technique, we introduce different types of structural bias in the method and show the link between the performance of the biased DE variants and the inherent biases in the benchmark sets. We find that the high use of Sum of Squares-like functions and the BBOB-specific location of the optima give a substantial advantage to the center-biased DE variants, especially in high dimension on low function evaluation settings. On the selected CEC functions, this effect was much less pronounced.
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[nazev] => An Investigation of Structural Bias in Particle Swarm Optimization
[nazev_orig] => An Investigation of Structural Bias in Particle Swarm Optimization
[duvernost_udaju_id] => S
[popis] => Many complex optimization problems, for which standard methods do not provide good-enough solutions, require the utilization of efficient metaheuristics. However, it has been found that several metaheuristics suffer from different types of structural biases, that may undermine their performance. In this paper, we investigate one of the most used evolutionary computation methods, the Particle Swarm Optimization algorithm. We utilize a recently developed modular framework for the construction of 123,900 parameterizations of PSO and investigate the effect of the different parameter choices on the identified types of structural bias. We also analyze and discuss the impact of the different types of structural bias found in these parameterizations on their performance on functions from a standard test set.
[popis_orig] => Many complex optimization problems, for which standard methods do not provide good-enough solutions, require the utilization of efficient metaheuristics. However, it has been found that several metaheuristics suffer from different types of structural biases, that may undermine their performance. In this paper, we investigate one of the most used evolutionary computation methods, the Particle Swarm Optimization algorithm. We utilize a recently developed modular framework for the construction of 123,900 parameterizations of PSO and investigate the effect of the different parameter choices on the identified types of structural bias. We also analyze and discuss the impact of the different types of structural bias found in these parameterizations on their performance on functions from a standard test set.
[klicova_slova] => Bias; Evolutionary computation; Metaheuristics; Particle Swarm Optimization
[klicova_slova_orig] => Bias; Evolutionary computation; Metaheuristics; Particle Swarm Optimization
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[citace_text] => IBEHEJ, D.; KŮDELA, J. An Investigation of Structural Bias in Particle Swarm Optimization. In Lecture Notes in Computer Science. Lecture Notes in Computer Science. Springer Science and Business Media Deutschland GmbH, 2025. p. 129-144. ISBN: 9783031900648.
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[citace_rtf] =>
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author="David {Ibehej} and Jakub {Kůdela}",
title="An Investigation of Structural Bias in Particle Swarm Optimization",
booktitle="Lecture Notes in Computer Science",
year="2025",
journal="Lecture Notes in Computer Science",
pages="129--144",
publisher="Springer Science and Business Media Deutschland GmbH",
doi="10.1007/978-3-031-90065-5\{_}8",
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[nazev_en] => An Investigation of Structural Bias in Particle Swarm Optimization
[popis_en] => Many complex optimization problems, for which standard methods do not provide good-enough solutions, require the utilization of efficient metaheuristics. However, it has been found that several metaheuristics suffer from different types of structural biases, that may undermine their performance. In this paper, we investigate one of the most used evolutionary computation methods, the Particle Swarm Optimization algorithm. We utilize a recently developed modular framework for the construction of 123,900 parameterizations of PSO and investigate the effect of the different parameter choices on the identified types of structural bias. We also analyze and discuss the impact of the different types of structural bias found in these parameterizations on their performance on functions from a standard test set.
[klicova_slova_en] => Bias; Evolutionary computation; Metaheuristics; Particle Swarm Optimization
[vysledek_datum] => 2025-04-17T00:00:00+02:00
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[citace_text] => 28th International Conference on the Applications of Evolutionary Computation. Trieste, Itálie (23.04.2025)
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[citace_rtf] =>
[citace_bibtex] => @misc{BUT200147,
year="2025",
url="https://www.evostar.org/2025/evoapps/",
note="External event"
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(
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[nazev] => Hybrid Optimization of Horizontal Alignments in European Terrains: A Comparative Study
[nazev_orig] => Hybrid Optimization of Horizontal Alignments in European Terrains: A Comparative Study
[duvernost_udaju_id] => S
[popis] => Path planning across terrain is a fundamental challenge in civil engineering, with applications ranging from transportation infrastructure to urban development. Recent advances in computational methods have enabled automated route optimization, particularly in horizontal alignment problems that balance construction costs with terrain constraints. However, standardized comparisons of optimization approaches across diverse geographical contexts remain limited, hindering the development of reliable automated planning systems. Here we show through a systematic comparative study across three European landscapes that A* significantly outperforms RRT* in initial path generation, with better computational efficiency and terrain adaptation, while PSO demonstrates superior optimization capabilities compared to CMA-ES and DE in refining these paths against roadway construction criteria. Through extensive parameter validation, we find these performance advantages remain consistent across different geographical contexts and topographical challenges, with the hybrid A*-PSO approach achieving significantly better results than applying optimization algorithms to straight-line paths alone. These findings provide a comprehensive comparison of key algorithms in infrastructure planning optimization, demonstrating the relative strengths of different approaches in horizontal alignment tasks. This comparative analysis offers practical guidance for algorithm selection while highlighting opportunities for further development through the incorporation of real-world engineering constraints.
[popis_orig] => Path planning across terrain is a fundamental challenge in civil engineering, with applications ranging from transportation infrastructure to urban development. Recent advances in computational methods have enabled automated route optimization, particularly in horizontal alignment problems that balance construction costs with terrain constraints. However, standardized comparisons of optimization approaches across diverse geographical contexts remain limited, hindering the development of reliable automated planning systems. Here we show through a systematic comparative study across three European landscapes that A* significantly outperforms RRT* in initial path generation, with better computational efficiency and terrain adaptation, while PSO demonstrates superior optimization capabilities compared to CMA-ES and DE in refining these paths against roadway construction criteria. Through extensive parameter validation, we find these performance advantages remain consistent across different geographical contexts and topographical challenges, with the hybrid A*-PSO approach achieving significantly better results than applying optimization algorithms to straight-line paths alone. These findings provide a comprehensive comparison of key algorithms in infrastructure planning optimization, demonstrating the relative strengths of different approaches in horizontal alignment tasks. This comparative analysis offers practical guidance for algorithm selection while highlighting opportunities for further development through the incorporation of real-world engineering constraints.
[klicova_slova] => Comparative study | Horizontal alignment optimization | Path planning
[klicova_slova_orig] => Comparative study | Horizontal alignment optimization | Path planning
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[upd_uid] => 11599
[ins_ts] => 2026-01-25
[upd_ts] => 2026-01-26
[status] => 9
[identifikator] => ISBN 9783031900617 ISSN 0302-9743
[identifikator_popis] => ISBN - Lecture Notes in Computer Science ISSN - Lecture Notes in Computer Science (DE)
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[riv_dodavka_oznaceni] => RIV26-GA0-26210___
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[citace_text] => ESPESETH, A.; JUŘÍČEK, M.; LUDWIG, H.; TUŠAR, T. Hybrid Optimization of Horizontal Alignments in European Terrains: A Comparative Study. In Lecture Notes in Computer Science. Lecture Notes in Computer Science. Springer Science and Business Media Deutschland GmbH, 2025. no. 15612 LNCS, p. 119-136. ISBN: 9783031900617.
[citace_html] => ESPESETH, A.; JUŘÍČEK, M.; LUDWIG, H.; TUŠAR, T. Hybrid Optimization of Horizontal Alignments in European Terrains: A Comparative Study. In Lecture Notes in Computer Science. Lecture Notes in Computer Science. Springer Science and Business Media Deutschland GmbH, 2025. no. 15612 LNCS, p. 119-136. ISBN: 9783031900617.
[citace_rtf] =>
[citace_bibtex] => @inproceedings{BUT200458,
author="{} and Martin {Juříček} and {} and {}",
title="Hybrid Optimization of Horizontal Alignments in European Terrains: A Comparative Study",
booktitle="Lecture Notes in Computer Science",
year="2025",
journal="Lecture Notes in Computer Science",
number="15612 LNCS",
pages="119--136",
publisher="Springer Science and Business Media Deutschland GmbH",
doi="10.1007/978-3-031-90062-4\{_}8",
isbn="9783031900617",
issn="0302-9743"
}
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[nazev_en] => Hybrid Optimization of Horizontal Alignments in European Terrains: A Comparative Study
[popis_en] => Path planning across terrain is a fundamental challenge in civil engineering, with applications ranging from transportation infrastructure to urban development. Recent advances in computational methods have enabled automated route optimization, particularly in horizontal alignment problems that balance construction costs with terrain constraints. However, standardized comparisons of optimization approaches across diverse geographical contexts remain limited, hindering the development of reliable automated planning systems. Here we show through a systematic comparative study across three European landscapes that A* significantly outperforms RRT* in initial path generation, with better computational efficiency and terrain adaptation, while PSO demonstrates superior optimization capabilities compared to CMA-ES and DE in refining these paths against roadway construction criteria. Through extensive parameter validation, we find these performance advantages remain consistent across different geographical contexts and topographical challenges, with the hybrid A*-PSO approach achieving significantly better results than applying optimization algorithms to straight-line paths alone. These findings provide a comprehensive comparison of key algorithms in infrastructure planning optimization, demonstrating the relative strengths of different approaches in horizontal alignment tasks. This comparative analysis offers practical guidance for algorithm selection while highlighting opportunities for further development through the incorporation of real-world engineering constraints.
[klicova_slova_en] => Comparative study | Horizontal alignment optimization | Path planning
[vysledek_datum] => 2025-01-01T00:00:00+01:00
)
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(
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[nazev] => SMARTLIS
[nazev_orig] => SMARTLIS
[duvernost_udaju_id] => S
[popis] => SMARTLIS je inovovaný kolejnicový lepený izolovaný styk s integrovaným piezokompozitním senzorickým systémem, který umožňuje sledovat mechanické zatížení a technický stav styku přímo v provozu. Senzory MFC jsou zabudovány do konstrukce LIS a generují elektrickou odezvu úměrnou deformaci při průjezdu vlaků. SMARTLIS tak poskytuje data pro diagnostiku a prediktivní údržbu, zvyšuje bezpečnost a spolehlivost tratí a umožňuje včasnou identifikaci opotřebení, deformací a změn v dynamickém chování kolejové infrastruktury.
[popis_orig] => SMARTLIS je inovovaný kolejnicový lepený izolovaný styk s integrovaným piezokompozitním senzorickým systémem, který umožňuje sledovat mechanické zatížení a technický stav styku přímo v provozu. Senzory MFC jsou zabudovány do konstrukce LIS a generují elektrickou odezvu úměrnou deformaci při průjezdu vlaků. SMARTLIS tak poskytuje data pro diagnostiku a prediktivní údržbu, zvyšuje bezpečnost a spolehlivost tratí a umožňuje včasnou identifikaci opotřebení, deformací a změn v dynamickém chování kolejové infrastruktury.
[klicova_slova] => lepený izolovaný styk
piezokompozitní senzory
prediktivní údržba
monitorování zatížení
[klicova_slova_orig] => lepený izolovaný styk
piezokompozitní senzory
prediktivní údržba
monitorování zatížení
[url] =>
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[vycet_osob] => RUBEŠ, O.; KŠICA, F.; BABIC, L.; PECL, T.; ČERVINKA, J.; RUMLER, M.; KOUKAL, J.; ANDRYSÍK, M.
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[druh_nazev] => Prototyp
[druh_popis] => Prototyp
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[vysledek_system_kategorie_id] => PD
[vysledek_stav_id] => 3
[vlozil] => Rubeš Ondřej
[upravil] => Kalmárová Kristýna
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[upd_uid] => 254501
[ins_ts] => 2026-01-26
[upd_ts] => 2026-03-30
[status] => 9
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[riv_dodavka_id] => 3581
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[citace_text] => RUBEŠ, O.; KŠICA, F.; BABIC, L.; PECL, T.; ČERVINKA, J.; RUMLER, M.; KOUKAL, J.; ANDRYSÍK, M.: SMARTLIS. (Prototyp)
[citace_html] => RUBEŠ, O.; KŠICA, F.; BABIC, L.; PECL, T.; ČERVINKA, J.; RUMLER, M.; KOUKAL, J.; ANDRYSÍK, M.: SMARTLIS. (Prototyp)
[citace_rtf] =>
[citace_bibtex] => @misc{BUT200499,
author="Ondřej {Rubeš} and Filip {Kšica} and {} and {} and {} and {} and {} and {} and {} and {}",
title="SMARTLIS",
year="2025",
note="Prototype"
}
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[poznamka_metriky] =>
[nazev_en] => SMARTLIS
[popis_en] => SMARTLIS is an innovative bonded insulated rail joint equipped with an integrated piezocomposite sensor system that enables continuous monitoring of mechanical loading and the technical condition of the joint directly in railway operation. MFC piezoelectric sensors are embedded within the LIS structure and generate an electrical response proportional to the deformation caused by passing train axles. SMARTLIS provides high‑value diagnostic data for condition assessment and predictive maintenance, improving track safety, reliability, and enabling early detection of wear, deformation, and changes in the dynamic behavior of railway infrastructure.
[klicova_slova_en] => bonded insulated rail joint
piezocomposite sensors
predictive maintenance
load monitoring
[vysledek_datum] => 2025-12-31T00:00:00+01:00
)
[5] => Array
(
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[nazev] => Analysis of the machinability of the alloyed iron aluminide Fe-Al-Si-Nb by WEDM
[nazev_orig] => Analysis of the machinability of the alloyed iron aluminide Fe-Al-Si-Nb by WEDM
[duvernost_udaju_id] =>
[popis] => Wire electrical discharge machining is an unconventional machining technology used in many industries. The machinability analysis of the newly-created materials is crucial for their future machinability with the given machining technology. For the machinability analysis, the influence of the machining parameters, namely pulse off time, gap voltage, discharge current, pulse on time and wire feed, was investigated in a planned experiment of 33 rounds. Both the cutting speed and roughness were analysed. The surface morphology of the machined pieces was examined with electron microscopy and the subsurface layer with cross-sectioning of the samples. A lamella was made for transmission electron microscopy to perform a detailed analysis of the chemical content. There was no sample made that would not result in cracks of 20-30 mu m depth. These cracks let us assume that the service life of the parts machined in this way will be limited. Multi-criteria optimisation was used to find the optimum machining parameters, which allows the cutting speed to reach 3.2 mm/min and for Ra to reach 2.1 mu m.
[popis_orig] => Wire electrical discharge machining is an unconventional machining technology used in many industries. The machinability analysis of the newly-created materials is crucial for their future machinability with the given machining technology. For the machinability analysis, the influence of the machining parameters, namely pulse off time, gap voltage, discharge current, pulse on time and wire feed, was investigated in a planned experiment of 33 rounds. Both the cutting speed and roughness were analysed. The surface morphology of the machined pieces was examined with electron microscopy and the subsurface layer with cross-sectioning of the samples. A lamella was made for transmission electron microscopy to perform a detailed analysis of the chemical content. There was no sample made that would not result in cracks of 20-30 mu m depth. These cracks let us assume that the service life of the parts machined in this way will be limited. Multi-criteria optimisation was used to find the optimum machining parameters, which allows the cutting speed to reach 3.2 mm/min and for Ra to reach 2.1 mu m.
[klicova_slova] => WEDM, wire electrical discharge machining, iron aluminide alloy, design of experiment, machining parameters
[klicova_slova_orig] => WEDM, wire electrical discharge machining, iron aluminide alloy, design of experiment, machining parameters
[url] => https://journals.sagepub.com/doi/10.1177/09544089241312619
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[odpovedny_utvar_nazev] => Ústav strojírenské technologie
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[nadrazena_soucast_nazev] => Fakulta strojního inženýrství
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[vycet_osob] => MOURALOVÁ, K.; BENES, L.; ZAHRADNÍČEK, R.; BEDNÁŘ, J.; HANUS, P.; FRIES, J.; PODANÝ, K.; KRAUS, P.
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[kategorie_nazev] => Publikační výsledky
[druh_nazev] => Článek WoS
[druh_popis] => Článek v odborném periodiku je obsažen v databázi Web of Science společností Thomson Reuters s příznakem „Article“, „Review“ nebo „Letter“
[stav] => Schválený
[vysledek_kategorie_id] => PV
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[upd_uid] => 11599
[ins_ts] => 2026-01-28
[upd_ts] => 2026-02-03
[status] => 9
[identifikator] => ISSN 0954-4089
[identifikator_popis] => ISSN - Proceedings of the Institution of Mechanical Engineers. Part E, Journal of process mechanical engineering (GB)
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[riv_dodavka_oznaceni] => RIV26-MSM-26210___
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[citace_text] => MOURALOVÁ, K.; BENES, L.; ZAHRADNÍČEK, R.; BEDNÁŘ, J.; HANUS, P.; FRIES, J.; PODANÝ, K.; KRAUS, P. Analysis of the machinability of the alloyed iron aluminide Fe-Al-Si-Nb by WEDM. Proceedings of the Institution of Mechanical Engineers. Part E, Journal of process mechanical engineering, 2025, no. 2025, 13 p.
[citace_html] => MOURALOVÁ, K.; BENES, L.; ZAHRADNÍČEK, R.; BEDNÁŘ, J.; HANUS, P.; FRIES, J.; PODANÝ, K.; KRAUS, P. Analysis of the machinability of the alloyed iron aluminide Fe-Al-Si-Nb by WEDM. Proceedings of the Institution of Mechanical Engineers. Part E, Journal of process mechanical engineering, 2025, no. 2025, 13 p.
[citace_rtf] =>
[citace_bibtex] => @article{BUT200634,
author="Kateřina {Mouralová} and {} and Radim {Zahradníček} and Josef {Bednář} and {} and {} and Kamil {Podaný} and {}",
title="Analysis of the machinability of the alloyed iron aluminide Fe-Al-Si-Nb by WEDM",
journal="Proceedings of the Institution of Mechanical Engineers. Part E, Journal of process mechanical engineering",
year="2025",
number="2025",
pages="13",
doi="10.1177/09544089241312619",
issn="0954-4089",
url="https://journals.sagepub.com/doi/10.1177/09544089241312619"
}
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[nazev_en] => Analysis of the machinability of the alloyed iron aluminide Fe-Al-Si-Nb by WEDM
[popis_en] =>
[klicova_slova_en] =>
[vysledek_datum] => 2025-03-04T00:00:00+01:00
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[6] => Array
(
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[nazev] => Design of Advanced Piezoelectric Vibration Control Electronics
[nazev_orig] => Design of Advanced Piezoelectric Vibration Control Electronics
[duvernost_udaju_id] => S
[popis] => This paper presents the development and experimental validation of an advanced electronic system for vibration control using piezoelectric elements. The proposed system is based on the Synchronized Switch Damping on Voltage source (SSDV) principle, a semi-active method well-suited for enhancing damping in mechanical structures. A key focus of this study is the influence of phase shift between the structural response and the switching signal, which significantly affects piezoelectric damping performance. A digital control board based on the STM32F303 microcontroller was designed to overcome the limitations of earlier analogue implementations. This new setup enables precise control of the switching phase and applied voltage, and supports future implementation of adaptive and self-sensing algorithms. The erformance of the digital system was evaluated through chirp-based frequency response measurements on a hybrid piezoelectric-based energy harvester. Results show that the digital solution improves agreement with simulations and offers greater flexibility in tuning phase shift, which is crucial for effective vibration control. Two output drivers—a discrete H-bridge and an integrated haptic driver—were compared, highlighting trade-offs in voltage range and damping efficiency. The work demonstrates the potential of compact, low-cost electronics for embedded piezoelectric damping systems and lays the groundwork for applications in machine tool vibration suppression and structural health monitoring.
[popis_orig] => This paper presents the development and experimental validation of an advanced electronic system for vibration control using piezoelectric elements. The proposed system is based on the Synchronized Switch Damping on Voltage source (SSDV) principle, a semi-active method well-suited for enhancing damping in mechanical structures. A key focus of this study is the influence of phase shift between the structural response and the switching signal, which significantly affects piezoelectric damping performance. A digital control board based on the STM32F303 microcontroller was designed to overcome the limitations of earlier analogue implementations. This new setup enables precise control of the switching phase and applied voltage, and supports future implementation of adaptive and self-sensing algorithms. The erformance of the digital system was evaluated through chirp-based frequency response measurements on a hybrid piezoelectric-based energy harvester. Results show that the digital solution improves agreement with simulations and offers greater flexibility in tuning phase shift, which is crucial for effective vibration control. Two output drivers—a discrete H-bridge and an integrated haptic driver—were compared, highlighting trade-offs in voltage range and damping efficiency. The work demonstrates the potential of compact, low-cost electronics for embedded piezoelectric damping systems and lays the groundwork for applications in machine tool vibration suppression and structural health monitoring.
[klicova_slova] => Vibration, Vibration control, Piezoelectric damping, Electronics
[klicova_slova_orig] => Vibration, Vibration control, Piezoelectric damping, Electronics
[url] => https://doi.org/10.1007/978-3-032-11549-2
[oecd_obor_id] => 20205
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[originalni_jazyk] => en
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[vykazovat_riv] => 1
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[slozka_id] =>
[posledni_diagnostika] =>
[vycet_osob] => Vladimír Skřivánek, Ondřej Rubeš, Zdeněk Hadaš
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[kod_doi] => 10.1007/978-3-032-11549-2_26
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[kategorie_nazev] => Publikační výsledky
[druh_nazev] => Stať ve sborníku v databázi WoS či Scopus
[druh_popis] => Stať ve sborníku v databázi WoS či Scopus
[stav] => Schválený
[vysledek_kategorie_id] => PV
[vysledek_system_kategorie_id] => PU
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[vlozil] => Skřivánek Vladimír
[upravil] => Hadaš Zdeněk
[ins_uid] => 216858
[upd_uid] => 11599
[ins_ts] => 2026-01-29
[upd_ts] => 2026-02-25
[status] => 9
[identifikator] => ISBN 978-3-032-11548-5 ISSN 2195-4356
[identifikator_popis] => ISBN - Proceedings of ICOVP & WMVC 2025 ISSN - Lecture Notes in Mechanical Engineering (DE)
[riv_dodavka_id] => 3596
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[citace_text] => Vladimír Skřivánek, Ondřej Rubeš, Zdeněk Hadaš. Design of Advanced Piezoelectric Vibration Control Electronics. In Proceedings of ICOVP & WMVC 2025. Lecture Notes in Mechanical Engineering. Springer Cham, 2026. no. 29.1.2026, p. 250-258. ISBN: 978-3-032-11548-5.
[citace_html] => Vladimír Skřivánek, Ondřej Rubeš, Zdeněk Hadaš. Design of Advanced Piezoelectric Vibration Control Electronics. In Proceedings of ICOVP & WMVC 2025. Lecture Notes in Mechanical Engineering. Springer Cham, 2026. no. 29.1.2026, p. 250-258. ISBN: 978-3-032-11548-5.
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author="Vladimír {Skřivánek} and Ondřej {Rubeš} and Zdeněk {Hadaš}",
title="Design of Advanced Piezoelectric Vibration Control Electronics",
booktitle="Proceedings of ICOVP & WMVC 2025",
year="2026",
journal="Lecture Notes in Mechanical Engineering",
volume="1",
number="29.1.2026",
pages="250--258",
publisher="Springer Cham",
doi="10.1007/978-3-032-11549-2\{_}26",
isbn="978-3-032-11548-5",
issn="2195-4356",
url="https://doi.org/10.1007/978-3-032-11549-2"
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[popis_en] => This paper presents the development and experimental validation of an advanced electronic system for vibration control using piezoelectric elements. The proposed system is based on the Synchronized Switch Damping on Voltage source (SSDV) principle, a semi-active method well-suited for enhancing damping in mechanical structures. A key focus of this study is the influence of phase shift between the structural response and the switching signal, which significantly affects piezoelectric damping performance. A digital control board based on the STM32F303 microcontroller was designed to overcome the limitations of earlier analogue implementations. This new setup enables precise control of the switching phase and applied voltage, and supports future implementation of adaptive and self-sensing algorithms. The erformance of the digital system was evaluated through chirp-based frequency response measurements on a hybrid piezoelectric-based energy harvester. Results show that the digital solution improves agreement with simulations and offers greater flexibility in tuning phase shift, which is crucial for effective vibration control. Two output drivers—a discrete H-bridge and an integrated haptic driver—were compared, highlighting trade-offs in voltage range and damping efficiency. The work demonstrates the potential of compact, low-cost electronics for embedded piezoelectric damping systems and lays the groundwork for applications in machine tool vibration suppression and structural health monitoring.
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[citace_text] => SHEHADEH, M. A.; ŠEDA, M. Generalized Voronoi Diagram-Guided and Contact-Optimized Motion Planning for Snake Robots. Mathematics, 2026, vol. 14, no. 2, p. 1-17.
[citace_html] => SHEHADEH, M. A.; ŠEDA, M. Generalized Voronoi Diagram-Guided and Contact-Optimized Motion Planning for Snake Robots. Mathematics, 2026, vol. 14, no. 2, p. 1-17.
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author="Pavel {Zikmund} and Jan {Navrátil} and Michael {Kofler} and {} and Jakub {Pollák} and Miroslav {Hrstka} and Jan {Bajer} and Ondřej {Červinek} and Melanie {Todt} and Michal {Kotoul} and {} and Zdeněk {Hadaš} and Daniel {Koutný} and Heinz {Pettermann} and {} and {} and Blanka {Marušincová} and {} and Vítězslav {Sobol}",
title="Demonstrator of the morphing wing section
using metamaterials",
year="2025",
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booktitle="Lecture Notes in Computer Science",
year="2025",
journal="Lecture Notes in Computer Science",
number="15612 LNCS",
pages="482--495",
publisher="Springer Science and Business Media Deutschland GmbH",
doi="10.1007/978-3-031-90062-4\{_}30",
isbn="9783031900617",
url="https://link.springer.com/chapter/10.1007/978-3-031-90062-4_30"
}
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[nazev_en] => The Importance of Being Earnest: Multiple Heterogeneous Container Loading with a Simple Genetic Algorithm
[popis_en] => In this study we address the complex practical problem of multiple heterogeneous container loading with a simple genetic algorithm. We demonstrate that with a well-chosen representation including a heuristic and a suitable fitness function the other aspects of the genetic algorithm do not need extensive work for good results. Following systematic study of our method on synthetically generated data, we visually showcase the solution for a company-based problem instance.
[klicova_slova_en] => genetic algorithm; heuristic; multiple heterogeneous container loading
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[nazev] => Two Novel Instance Selection Methods Combining Algorithm Performance and Landscape Analysis: A Comparative Study in Continuous Optimization
[nazev_orig] => Two Novel Instance Selection Methods Combining Algorithm Performance and Landscape Analysis: A Comparative Study in Continuous Optimization
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[popis] => A reliable benchmark library is essential for advancing research in global optimization by enabling fair comparisons and rigorous testing of optimization algorithms across diverse problem landscapes. In this article, we focus on instance selection methods, which aim to choose representative problems for evaluating algorithm performance. We present a comprehensive review of existing instance selection methods, highlighting their strengths and limitations, particularly in balancing the consideration of algorithm performance and the analysis of problem characteristics using exploratory landscape analysis. Building on these insights, we introduce two novel instance selection methods that leverage both algorithm performance data and landscape analysis information to construct diverse and informative benchmark sets. For evaluation, we benchmark our approaches against four existing instance selection methods on the recently expanded DIRECTGOLib v2.0 library. Our results demonstrate that the proposed methods effectively identify representative instances that capture a wide range of problem characteristics, enabling a more comprehensive evaluation of algorithm performance. These findings have significant implications for the development and assessment of new optimization algorithms, ultimately contributing to more reliable and robust solutions for real-world optimization problems.
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[klicova_slova_orig] => Benchmark testing, Libraries, Optimization, Vectors, Runtime, Reviews, Cybernetics, Training, Reliability, Euclidean distance, Algorithm performance, black-box global optimization, exploratory landscape analysis, instance selection methods, numerical benchmarking
[url] => https://ieeexplore.ieee.org/abstract/document/11224009
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[citace_text] => STRIPINIS, L.; KŮDELA, J.; PAULAVICIUS, R. Two Novel Instance Selection Methods Combining Algorithm Performance and Landscape Analysis: A Comparative Study in Continuous Optimization. IEEE Transactions on Cybernetics, 2026, vol. 56, no. 3, p. 1202-1215.
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[citace_bibtex] => @article{BUT201668,
author="{} and Jakub {Kůdela} and {}",
title="Two Novel Instance Selection Methods Combining Algorithm Performance and Landscape Analysis: A Comparative Study in Continuous Optimization",
journal="IEEE Transactions on Cybernetics",
year="2026",
volume="56",
number="3",
pages="1202--1215",
doi="10.1109/TCYB.2025.3625095",
issn="2168-2267",
url="https://ieeexplore.ieee.org/abstract/document/11224009"
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[nazev_en] => Two Novel Instance Selection Methods Combining Algorithm Performance and Landscape Analysis: A Comparative Study in Continuous Optimization
[popis_en] => A reliable benchmark library is essential for advancing research in global optimization by enabling fair comparisons and rigorous testing of optimization algorithms across diverse problem landscapes. In this article, we focus on instance selection methods, which aim to choose representative problems for evaluating algorithm performance. We present a comprehensive review of existing instance selection methods, highlighting their strengths and limitations, particularly in balancing the consideration of algorithm performance and the analysis of problem characteristics using exploratory landscape analysis. Building on these insights, we introduce two novel instance selection methods that leverage both algorithm performance data and landscape analysis information to construct diverse and informative benchmark sets. For evaluation, we benchmark our approaches against four existing instance selection methods on the recently expanded DIRECTGOLib v2.0 library. Our results demonstrate that the proposed methods effectively identify representative instances that capture a wide range of problem characteristics, enabling a more comprehensive evaluation of algorithm performance. These findings have significant implications for the development and assessment of new optimization algorithms, ultimately contributing to more reliable and robust solutions for real-world optimization problems.
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[nazev_orig] => Novel metamaterial platform with piezoelectric sensors for self-sensing mechanical support
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[popis] => In the last two decades, the field of mechanical engineering has seen growing interest in the development and utilisation of mechanical metamaterials. Artificially designed materials are intended to alter the mechanical properties of structures significantly, thereby enhancing their resilience, adaptability, and efficiency. This research focuses not only on strengthening structural strength and durability but also on enabling structural health monitoring and vibration mitigation. Modern computational modelling, with coupled-field analysis, allows engineers to design smart systems that integrate piezoelectric elements into complex geometric structures. These smart piezoelectric elements, here embedded in auxetic reentrant unit cells, offer valuable insights into the behaviour of the host structure under various conditions. This integration facilitates the assessment of electromechanical responses, thereby enabling the development of more intelligent and responsive structural systems. The current research focuses on developing a computational model and creating experimental prototypes for self-sensing mechanical support. This support serves as a load-bearing element of the host structure while simultaneously enabling the generation of vibrational signals in response to external stimuli. Piezoceramic elements enable the support to function as a sensor, detecting external forces or environmental vibrations. Additionally, this structure opens new possibilities for studying mechanical vibration attenuation and the temporal decay of vibrations. The combination of advanced metamaterial design, computational tools, and integrated smart materials creates a new approach for structural health monitoring and vibration attenuation. Ultimately, such a system aims to develop a better understanding of sustainable structures that can adapt to and respond to their environment while maintaining optimal structural rigidity and functionality.
[popis_orig] => In the last two decades, the field of mechanical engineering has seen growing interest in the development and utilisation of mechanical metamaterials. Artificially designed materials are intended to alter the mechanical properties of structures significantly, thereby enhancing their resilience, adaptability, and efficiency. This research focuses not only on strengthening structural strength and durability but also on enabling structural health monitoring and vibration mitigation. Modern computational modelling, with coupled-field analysis, allows engineers to design smart systems that integrate piezoelectric elements into complex geometric structures. These smart piezoelectric elements, here embedded in auxetic reentrant unit cells, offer valuable insights into the behaviour of the host structure under various conditions. This integration facilitates the assessment of electromechanical responses, thereby enabling the development of more intelligent and responsive structural systems. The current research focuses on developing a computational model and creating experimental prototypes for self-sensing mechanical support. This support serves as a load-bearing element of the host structure while simultaneously enabling the generation of vibrational signals in response to external stimuli. Piezoceramic elements enable the support to function as a sensor, detecting external forces or environmental vibrations. Additionally, this structure opens new possibilities for studying mechanical vibration attenuation and the temporal decay of vibrations. The combination of advanced metamaterial design, computational tools, and integrated smart materials creates a new approach for structural health monitoring and vibration attenuation. Ultimately, such a system aims to develop a better understanding of sustainable structures that can adapt to and respond to their environment while maintaining optimal structural rigidity and functionality.
[klicova_slova] => Smart structures;Mechanical metamaterials;Vibration;Embedded piezoelectric transducers (PZT);Resonance control;Self-sensing mechanical structure
[klicova_slova_orig] => Smart structures;Mechanical metamaterials;Vibration;Embedded piezoelectric transducers (PZT);Resonance control;Self-sensing mechanical structure
[url] => https://www.sciencedirect.com/science/article/pii/S0020740326002432
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[upravil] => Marcián Petr
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[ins_ts] => 2026-02-13
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[citace_html] => SLABÝ, V.; BAJER, J.; MARCIÁN, P.; HRSTKA, M.; HADAŠ, Z. Novel metamaterial platform with piezoelectric sensors for self-sensing mechanical support. International Journal of Mechanical Sciences, 2026, vol. 314, no. March, p. 1-15.
[citace_rtf] =>
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author="Vojtěch {Slabý} and Jan {Bajer} and Petr {Marcián} and {} and Miroslav {Hrstka} and Zdeněk {Hadaš}",
title="Novel metamaterial platform with piezoelectric sensors for self-sensing mechanical support",
journal="International Journal of Mechanical Sciences",
year="2026",
volume="314",
number="March",
pages="1--15",
doi="10.1016/j.ijmecsci.2026.111387",
issn="0020-7403",
url="https://www.sciencedirect.com/science/article/pii/S0020740326002432"
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[nazev_en] => Novel metamaterial platform with piezoelectric sensors for self-sensing mechanical support
[popis_en] => In the last two decades, the field of mechanical engineering has seen growing interest in the development and utilisation of mechanical metamaterials. Artificially designed materials are intended to alter the mechanical properties of structures significantly, thereby enhancing their resilience, adaptability, and efficiency. This research focuses not only on strengthening structural strength and durability but also on enabling structural health monitoring and vibration mitigation. Modern computational modelling, with coupled-field analysis, allows engineers to design smart systems that integrate piezoelectric elements into complex geometric structures. These smart piezoelectric elements, here embedded in auxetic reentrant unit cells, offer valuable insights into the behaviour of the host structure under various conditions. This integration facilitates the assessment of electromechanical responses, thereby enabling the development of more intelligent and responsive structural systems. The current research focuses on developing a computational model and creating experimental prototypes for self-sensing mechanical support. This support serves as a load-bearing element of the host structure while simultaneously enabling the generation of vibrational signals in response to external stimuli. Piezoceramic elements enable the support to function as a sensor, detecting external forces or environmental vibrations. Additionally, this structure opens new possibilities for studying mechanical vibration attenuation and the temporal decay of vibrations. The combination of advanced metamaterial design, computational tools, and integrated smart materials creates a new approach for structural health monitoring and vibration attenuation. Ultimately, such a system aims to develop a better understanding of sustainable structures that can adapt to and respond to their environment while maintaining optimal structural rigidity and functionality.
[klicova_slova_en] => Smart structures;Mechanical metamaterials;Vibration;Embedded piezoelectric transducers (PZT);Resonance control;Self-sensing mechanical structure
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[nazev_orig] => Motion Planning in the Plane with Obstacles
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[popis] => The task of planning trajectories plays an important role in transportation, robotics, even in information systems (sending messages). In robot motion planning the robot should pass around the obstacles, from a given starting position to a given target position, touching none of them, i.e. the goal is to find a collision-free path from the starting to the target position. This task has many specific formulations depending on the shape of obstacles, allowable directions of movements, knowledge of the scene, etc. Research on path planning has yielded many fundamentally different approaches to its solution, e.g. visibility graph method or the shortest path map method. Assuming movements only in a restricted number of directions (eight directional, horizontal/vertical) the task, with respect to its combinatorial nature, can be solved by heuristic techniques (genetic algorithms, simulated annealing, tabu-search). We present a framework of such approach and show its drawbacks (combinatorial explosion, limited granularity, generating infeasible solutions). Application of the Voronoi diagrams to the studied tasks can be seen as the main result of this paper. This approach needs only polynomial time and choosing Euclidean or rectilinear metric it can be adapted to tasks with general or directional-constrained movements.
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[citace_text] => ŠEDA, M. Motion Planning in the Plane with Obstacles. In Abstracts of Summer School on Control Theory and Applications. Graz (Austria): Graz University of Technology, 2004. 12 p.
[citace_html] => ŠEDA, M. Motion Planning in the Plane with Obstacles. In Abstracts of Summer School on Control Theory and Applications. Graz (Austria): Graz University of Technology, 2004. 12 p.
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[citace_bibtex] => @inproceedings{BUT12865,
author="Miloš {Šeda}",
title="Motion Planning in the Plane with Obstacles",
booktitle="Abstracts of Summer School on Control Theory and Applications",
year="2004",
pages="12",
publisher="Graz University of Technology",
address="Graz (Austria)"
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[oecd_tree_podobor_nazev] => Robotics and automatic control
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[nazev_en] => Motion Planning in the Plane with Obstacles
[popis_en] => The task of planning trajectories plays an important role in transportation, robotics, even in information systems (sending messages). In robot motion planning the robot should pass around the obstacles, from a given starting position to a given target position, touching none of them, i.e. the goal is to find a collision-free path from the starting to the target position. This task has many specific formulations depending on the shape of obstacles, allowable directions of movements, knowledge of the scene, etc. Research on path planning has yielded many fundamentally different approaches to its solution, e.g. visibility graph method or the shortest path map method. Assuming movements only in a restricted number of directions (eight directional, horizontal/vertical) the task, with respect to its combinatorial nature, can be solved by heuristic techniques (genetic algorithms, simulated annealing, tabu-search). We present a framework of such approach and show its drawbacks (combinatorial explosion, limited granularity, generating infeasible solutions). Application of the Voronoi diagrams to the studied tasks can be seen as the main result of this paper. This approach needs only polynomial time and choosing Euclidean or rectilinear metric it can be adapted to tasks with general or directional-constrained movements.
[klicova_slova_en] => Motion planning, genetic algorithm, case-based reasoning, Voronoi diagram, rectilinear metric
[vysledek_datum] => 2004-09-01T00:00:00+02:00
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ZIKMUND, P. NAVRÁTIL, J. KOFLER, M. VAN KAMPEN, E. POLLÁK, J. HRSTKA, M. BAJER, J. ČERVINEK, O. TODT, M. KOTOUL, M. HADAŠ, Z. KOUTNÝ, D. PETTERMANN, H. SODJA, J. KHODAEI, Z. MARUŠINCOVÁ, B. ALIABADI, M. SOBOL, V.