Publication result detail

Promising GAHC and HC12 algorithms in global optimization tasks

MATOUŠEK, R.; ŽAMPACHOVÁ, E.

Original Title

Promising GAHC and HC12 algorithms in global optimization tasks

English Title

Promising GAHC and HC12 algorithms in global optimization tasks

Type

Peer-reviewed article not indexed in WoS or Scopus

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.

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

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

Key words in English

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

Authors

MATOUŠEK, R.; ŽAMPACHOVÁ, E.

RIV year

2012

Released

11.08.2011

Publisher

Taylor & Francis

Location

Anglie (England)

ISBN

1055-6788

Periodical

OPTIMIZATION METHODS & SOFTWARE

Volume

26

Number

3

State

United Kingdom of Great Britain and Northern Ireland

Pages from

405

Pages to

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"
}