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An Optimal Ordering Policy of the Retailers Under Partial Trade Credit Financing and Restricted Cycle Time in Supply Chain Read chapter Read first chapter

2013 | OriginalPaper | Chapter

An Immunized Ant Colony System Algorithm to Solve Unequal Area Facility Layout Problems Using Flexible Bay Structure

Authors : Mei-Shiang Chang, Hsin-Yi Lin

Published in: Proceedings of the Institute of Industrial Engineers Asian Conference 2013

Publisher: Springer Singapore

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Abstract

The Facility Layout Problem (FLP) is a typical combinational optimization problem. In this research, clonal selection algorithm (CSA) and ant colony system (ACS) are combined and an immunized ant colony system algorithm (IACS) is proposed to solve unequal-area facility layout problems using a flexible bay structure (FBS) representation. Four operations of CSA, clone, mutation, memory cells, and suppressor cells, are introduced in the ACS to improve the solution quality of initial ant solutions and to increase differences among ant solutions, so search capability of the IACO is enhanced. Datasets of well-known benchmark problems are used to evaluate the effectiveness of this approach. Compared with preview researches, the IACS can obtain the close or better solutions for some benchmark problems.

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previous chapter An Optimal Ordering Policy of the Retailers Under Partial Trade Credit Financing and Restricted Cycle Time in Supply Chain
next chapter Characterizing the Trade-Off Between Queue Time and Utilization of a Manufacturing System
Literature
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Metadata
Title
An Immunized Ant Colony System Algorithm to Solve Unequal Area Facility Layout Problems Using Flexible Bay Structure
Authors
Mei-Shiang Chang
Hsin-Yi Lin
Copyright Year
2013
Publisher
Springer Singapore
Book
Proceedings of the Institute of Industrial Engineers Asian Conference 2013

Print ISBN: 978-981-4451-97-0

Electronic ISBN: 978-981-4451-98-7

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-981-4451-98-7_2