Detail publikace

Promising GAHC and HC12 algorithms in global optimization tasks

MATOUŠEK, R. ŽAMPACHOVÁ, E.

Originální název

Promising GAHC and HC12 algorithms in global optimization tasks

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

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

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

Autoři

MATOUŠEK, R.; ŽAMPACHOVÁ, E.

Rok RIV

2011

Vydáno

11. 8. 2011

Nakladatel

Taylor & Francis

Místo

Anglie (England)

ISSN

1055-6788

Periodikum

OPTIMIZATION METHODS & SOFTWARE

Ročník

26

Číslo

3

Stát

Spojené království Velké Británie a Severního Irska

Strany od

405

Strany do

419

Strany počet

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"
}