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Authors: Sadan Kulturel-Konak and Abdullah Konak

Affiliation: Penn State Berks, United States

ISBN: 978-989-8425-83-6

Keyword(s): Unequal Area Facility Layout, Relax Flexible Bay Structure, Ant Colony Optimization.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Hybrid Systems ; Soft Computing ; Swarm/Collective Intelligence

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.

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Paper citation in several formats:
Kulturel-Konak, S. and Konak, A. (2011). ANT COLONY OPTIMIZATION FOR THE UNEQUAL-AREA FACILITY LAYOUT PROBLEM.In Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2011) ISBN 978-989-8425-83-6, pages 273-277. DOI: 10.5220/0003627302730277

@conference{ecta11,
author={Sadan Kulturel{-}Konak. and Abdullah Konak.},
title={ANT COLONY OPTIMIZATION FOR THE UNEQUAL-AREA FACILITY LAYOUT PROBLEM},
booktitle={Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2011)},
year={2011},
pages={273-277},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003627302730277},
isbn={978-989-8425-83-6},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: ECTA, (IJCCI 2011)
TI - ANT COLONY OPTIMIZATION FOR THE UNEQUAL-AREA FACILITY LAYOUT PROBLEM
SN - 978-989-8425-83-6
AU - Kulturel-Konak, S.
AU - Konak, A.
PY - 2011
SP - 273
EP - 277
DO - 10.5220/0003627302730277

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