Detail publikace

Promising GAHC and HC12 algorithms in global optimization tasks

MATOUŠEK, R. ŽAMPACHOVÁ, E.

Anglický název

Promising GAHC and HC12 algorithms in global optimization tasks

Typ

Článek recenzovaný mimo WoS a Scopus

Jazyk

en

Originální abstrakt

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.

Klíčová slova anglicky

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

Vydáno

2011-08-11

Nakladatel

Taylor & Francis

Místo

Anglie (England)

ISSN

1055-6788

Ročník

26

Číslo

3

Strany od–do

405–419

Počet stran

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"
}