Convergence of ant colony optimization on first-order deceptive systems

  • Yixin Chen
  • , Haiying Sun

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

5 Scopus citations

Abstract

Deceptive problems have been considered difficult for ant colony optimization (ACO) and it was believed that ACO will fail to converge to global optima of deceptive problems. This paper presents a convergence analysis of ACO on deceptive systems. This paper proves, for the first time, that ACO can achieve reachability convergence but not asymptotic convergence for a class of first order deceptive systems (FODS) without assuming a minimum pheromone at each iteration. Experimental results confirm the analysis.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Granular Computing, GRC 2008
Pages158-163
Number of pages6
DOIs
StatePublished - 2008
Event2008 IEEE International Conference on Granular Computing, GRC 2008 - Hangzhou, China
Duration: Aug 26 2008Aug 28 2008

Publication series

Name2008 IEEE International Conference on Granular Computing, GRC 2008

Conference

Conference2008 IEEE International Conference on Granular Computing, GRC 2008
Country/TerritoryChina
CityHangzhou
Period08/26/0808/28/08

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