Publication detail

Promising GAHC and HC12 algorithms in global optimization tasks

MATOUŠEK, R. ŽAMPACHOVÁ, E.

Czech title

Nadějné algorytmy GAHC a HC12 v úlohách globální optimalizace

English title

Promising GAHC and HC12 algorithms in global optimization tasks

Type

journal article - other

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.

Czech abstract

Příspěvek pojednává o nových optimalizačních algoritmech označovanýchjako GAHC a HC12. Algoritmy jsou ze skupiny tzv. soft-computing metod a jsou inspirovány biologickými principy. Výkon algoritmů je demonstrován na sadě globálně optimalizačních úloh. Výsledky jsou porovnány se standardními přístupy. Implementace algoritmů GAHC a HC12 je provedena pomocí vlastního toolboxu GATE v prostředí Matlab.

English 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

RIV year

2011

Released

11.08.2011

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",
  year="2011",
  volume="26",
  number="3",
  month="August",
  pages="405--419",
  publisher="Taylor & Francis",
  address="Anglie (England)",
  issn="1055-6788"
}