A hybrid ant colony optimization algorithm for solving facility layout problems formulated as quadratic assignment problems
Purpose – This paper aims to describe a new hybrid ant colony optimization (ACO) algorithm developed to solve facility layout problems (FLPs) formulated as quadratic assignment problems (QAPs). Design/methodology/approach – A hybrid ACO algorithm which combines max‐min ant system (MMAS) (i.e. a...
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Main Authors: | , |
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Format: | Article |
Published: |
Emerald Group Publishing Limited
2010
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Online Access: | http://eprints.utm.my/id/eprint/22796/ https://doi.org/10.1108/02644401011008559 |
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Institution: | Universiti Teknologi Malaysia |