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A comprehensive study: Ant Colony Optimization (ACO) for Facility Layout Problem

Hasan, Raed Abdulkareem and Tapus, Nicolae and Mohammed, Mostafa Abdulghafoor and Hammood, Omar A. (2017) A comprehensive study: Ant Colony Optimization (ACO) for Facility Layout Problem. In: IEEE Proceedings of 16th RoEduNet Conference: Networking in Education and Research (RoEduNet 2017), 21-23 September 2017 , Targu Mures, Romania. pp. 1-8.. ISSN 2247-5443

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In context of manufacturing, numerous models are designed to appropriately represent the facility layout problem (FLP) and a variety of optimization methods have been applied to solve these models. The ultimate goal of these methods is to find optimal solutions, In regard to Swarm Intelligence (SI), Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) are regarded as the most important SI techniques of our time. In this paper, a brief introduction for the so far most promising approaches to facility layout related topics, are provided. The succeeding paper will then illustrate some of those, in more detail. Moreover, we examine ACO modifications and extensions that could contribute to optimization methods in FLP; mostly conform to NP-hard combinatorial problems. future research areas are identified in Construction Site Facility Layout Problems, Multi-Criteria Facility Layout Problems and Dynamic Facility Layout Problems.

Item Type: Conference or Workshop Item (Lecture)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Noorul Farina Arifin
Date Deposited: 19 Oct 2018 08:28
Last Modified: 19 Oct 2018 08:28
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