Publication detail
Benchmarking Seven Multi-objective Optimization Methods from the PlatEMO Platform on the bbob-biobj Test Suite
IBEHEJ, D. KŮDELA, J.
English title
Benchmarking Seven Multi-objective Optimization Methods from the PlatEMO Platform on the bbob-biobj Test Suite
Type
Paper in proceedings (conference paper)
Language
en
Original abstract
In this paper, we propose a comparative benchmark of seven multiobjective optimization methods from the PlatEMO platform using the COCO framework for performance assessment and the bi-objective test suite bbob-biobj. A mix of both standard methods and newer techniques from various sources that were implemented in the PlatEMO framework was selected for the comparison. We find that although the selected methods were overall mostly inferior to the top-performing methods from the bbob-biobj data archive, they performed quite well in certain computational budget ranges and specific function subgroups.
Keywords in English
Benchmarking; Black-box optimization; Multiobjective methods; PlatEMO platform
Released
2025-08-11
Publisher
Association for Computing Machinery, Inc
ISBN
9798400714641
Book
Gecco 2025 Companion Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion
Pages from–to
1883–1890
Pages count
8
BIBTEX
@inproceedings{BUT200141,
author="David {Ibehej} and Jakub {Kůdela}",
title="Benchmarking Seven Multi-objective Optimization Methods from the PlatEMO Platform on the bbob-biobj Test Suite",
booktitle="Gecco 2025 Companion Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion",
year="2025",
pages="1883--1890",
publisher="Association for Computing Machinery, Inc",
doi="10.1145/3712255.3734349",
isbn="9798400714641"
}