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A new data structure of solution representation in hybrid ant colony optimization for large dynamic facility layout problems

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  • Yu-Hsin Chen, Gary

Abstract

A dynamic facility layout problem (DFLP) is concerned with finding a set of facility layouts across multiple time periods that minimizes the total cost of material flows and rearrangement costs. Unlike other heuristic approaches that focus mainly on the searching aspect, this research takes another approach by streamlining the data structure of solution representation to improve the solution swapping and storing activities within a meta-heuristic framework. The experimental results from testing the data encoding and decoding schemes on a DFLP data set have been quite promising in terms of solution quality and computational time.

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  • Yu-Hsin Chen, Gary, 2013. "A new data structure of solution representation in hybrid ant colony optimization for large dynamic facility layout problems," International Journal of Production Economics, Elsevier, vol. 142(2), pages 362-371.
    • Handle: RePEc:eee:proeco:v:142:y:2013:i:2:p:362-371
    DOI: 10.1016/j.ijpe.2012.12.012
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    References listed on IDEAS

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    1. Moncayo-Martínez, Luis A. & Zhang, David Z., 2011. "Multi-objective ant colony optimisation: A meta-heuristic approach to supply chain design," International Journal of Production Economics, Elsevier, vol. 131(1), pages 407-420, May.
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    Cited by:

    1. Pablo Pérez-Gosende & Josefa Mula & Manuel Díaz-Madroñero, 2020. "Overview of Dynamic Facility Layout Planning as a Sustainability Strategy," Sustainability, MDPI, vol. 12(19), pages 1-16, October.
    2. Vitayasak, Srisatja & Pongcharoen, Pupong & Hicks, Chris, 2017. "A tool for solving stochastic dynamic facility layout problems with stochastic demand using either a Genetic Algorithm or modified Backtracking Search Algorithm," International Journal of Production Economics, Elsevier, vol. 190(C), pages 146-157.

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