Ant colony optimization for the unequal-area facility layout problem

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, an ant colony optimization (ACO) approach is proposed to solve the Facility Layout Problem (FLP) with unequal area departments. The flexible bay structure (FBS) is relaxed by allowing empty spaces in bays, which results in more flexibility while assigning departments in bays. The comparative results show that the ACO approach is very promising.

Original languageEnglish (US)
Title of host publicationECTA 2011 FCTA 2011 - Proceedings of the International Conference on Evolutionary Computation Theory and Applications and International Conference on Fuzzy Computation Theory and Applications
Pages273-277
Number of pages5
StatePublished - Dec 1 2011
EventInternational Conference on Evolutionary Computation Theory and Applications, ECTA 2011 and International Conference on Fuzzy Computation Theory and Applications, FCTA 2011 - Paris, France
Duration: Oct 24 2011Oct 26 2011

Publication series

NameECTA 2011 FCTA 2011 - Proceedings of the International Conference on Evolutionary Computation Theory and Applications and International Conference on Fuzzy Computation Theory and Applications

Other

OtherInternational Conference on Evolutionary Computation Theory and Applications, ECTA 2011 and International Conference on Fuzzy Computation Theory and Applications, FCTA 2011
CountryFrance
CityParis
Period10/24/1110/26/11

All Science Journal Classification (ASJC) codes

  • Applied Mathematics

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  • Cite this

    Kulturel-Konak, S., & Konak, A. (2011). Ant colony optimization for the unequal-area facility layout problem. In ECTA 2011 FCTA 2011 - Proceedings of the International Conference on Evolutionary Computation Theory and Applications and International Conference on Fuzzy Computation Theory and Applications (pp. 273-277). (ECTA 2011 FCTA 2011 - Proceedings of the International Conference on Evolutionary Computation Theory and Applications and International Conference on Fuzzy Computation Theory and Applications).