Parameter tuning for ant colony optimization: A review

Kuan Yew Wong, Komarudin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

23 Citations (Scopus)

Abstract

Ant Colony Optimization (ACO) has enjoyed development and improvement since it was introduced in 1990s. The development of ACO was primarily driven by its convergence problem. Balancing between intensification and diversification in the search space is an important factor to intelligently improve solutions and avoid premature convergence. Balancing intensification and diversification can be gained by controlling the parameters value (this is called parameter tuning). Unfortunately, only little research has been reported to adopt parameter tuning as a strategy to balance intensification and diversification in ACO. This paper review parameter tuning in ACO published in the literature.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Computer and Communication Engineering 2008, ICCCE08
Subtitle of host publicationGlobal Links for Human Development
Pages542-545
Number of pages4
DOIs
Publication statusPublished - 22 Sep 2008
EventInternational Conference on Computer and Communication Engineering 2008, ICCCE08: Global Links for Human Development - Kuala Lumpur, Malaysia
Duration: 13 May 200815 May 2008

Publication series

NameProceedings of the International Conference on Computer and Communication Engineering 2008, ICCCE08: Global Links for Human Development

Conference

ConferenceInternational Conference on Computer and Communication Engineering 2008, ICCCE08: Global Links for Human Development
Country/TerritoryMalaysia
CityKuala Lumpur
Period13/05/0815/05/08

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