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Ant System Embedded with Local Search for Solving Facility Layout Problem

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Information Processing and Management (BAIP 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 70))

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Abstract

The goal of this paper is to present an ant system embedded with local search named as ANTELS for quadratic assignment problem (QAP) which is a widely accepted mathematical formulation for facility layout problem (FLP). The performance of the proposed ANTELS is compared to other well known heuristics/ Meta-heuristics of FLP as well as other existing ant system. The computational results show that the proposed ANTELS provides promising result.

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Singh, S.P. (2010). Ant System Embedded with Local Search for Solving Facility Layout Problem. In: Das, V.V., et al. Information Processing and Management. BAIP 2010. Communications in Computer and Information Science, vol 70. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12214-9_115

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  • DOI: https://doi.org/10.1007/978-3-642-12214-9_115

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12213-2

  • Online ISBN: 978-3-642-12214-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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