Publication detail

Promising GAHC and HC12 algorithms in global optimization tasks

MATOUŠEK, R. ŽAMPACHOVÁ, E.

English title

Promising GAHC and HC12 algorithms in global optimization tasks

Type

Peer-reviewed article not indexed in WoS or Scopus

Language

en

Original abstract

This paper deals with a new stochastic heuristic searching algorithm inspired by the fundamental biological principles of survival. It presents a very promising version of a commonly known genetic algorithm denoted as GAHC and an algorithm denoted as HC12. Global optimization properties of these algorithms are illustrated with several nonlinear optimization problems. These problems are also solved by sophisticated solvers in general algebraic modelling system to increase objectivity and to compare different methods. Presented optimization algorithms are implemented in our own optimization toolbox GATE in Matlab environment.

Keywords in English

genetický algoritmus, heuristika, horolezeclý algoritmus, nelineární programování, celočíselné programování

Released

2011-08-11

Publisher

Taylor & Francis

Location

Anglie (England)

ISSN

1055-6788

Volume

26

Number

3

Pages from–to

405–419

Pages count

15

BIBTEX


@article{BUT75057,
  author="Radomil {Matoušek} and Eva {Mrázková}",
  title="Promising GAHC and HC12 algorithms in global optimization tasks",
  journal="OPTIMIZATION METHODS & SOFTWARE",
  year="2011",
  volume="26",
  number="3",
  pages="405--419",
  issn="1055-6788"
}