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

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),...

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Main Authors:	Hasan, Raed Abdulkareem, Tapus, Nicolae, Mohammed, Mostafa Abdulghafoor, Hammood, Omar A.
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2017
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/22435/ http://umpir.ump.edu.my/id/eprint/22435/ http://umpir.ump.edu.my/id/eprint/22435/1/a%20comprehensive%20study%20ant%20colony1.pdf

id	ump-22435
recordtype	eprints
spelling	ump-224352018-10-19T08:28:37Z http://umpir.ump.edu.my/id/eprint/22435/ A comprehensive study: Ant Colony Optimization (ACO) for Facility Layout Problem Hasan, Raed Abdulkareem Tapus, Nicolae Mohammed, Mostafa Abdulghafoor Hammood, Omar A. QA75 Electronic computers. Computer science 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. IEEE 2017 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22435/1/a%20comprehensive%20study%20ant%20colony1.pdf 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 https://doi.org/10.1109/ROEDUNET.2017.8123738
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Hasan, Raed Abdulkareem Tapus, Nicolae Mohammed, Mostafa Abdulghafoor Hammood, Omar A. A comprehensive study: Ant Colony Optimization (ACO) for Facility Layout Problem
description	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.
format	Conference or Workshop Item
author	Hasan, Raed Abdulkareem Tapus, Nicolae Mohammed, Mostafa Abdulghafoor Hammood, Omar A.
author_facet	Hasan, Raed Abdulkareem Tapus, Nicolae Mohammed, Mostafa Abdulghafoor Hammood, Omar A.
author_sort	Hasan, Raed Abdulkareem
title	A comprehensive study: Ant Colony Optimization (ACO) for Facility Layout Problem
title_short	A comprehensive study: Ant Colony Optimization (ACO) for Facility Layout Problem
title_full	A comprehensive study: Ant Colony Optimization (ACO) for Facility Layout Problem
title_fullStr	A comprehensive study: Ant Colony Optimization (ACO) for Facility Layout Problem
title_full_unstemmed	A comprehensive study: Ant Colony Optimization (ACO) for Facility Layout Problem
title_sort	comprehensive study: ant colony optimization (aco) for facility layout problem
publisher	IEEE
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/22435/ http://umpir.ump.edu.my/id/eprint/22435/ http://umpir.ump.edu.my/id/eprint/22435/1/a%20comprehensive%20study%20ant%20colony1.pdf
first_indexed	2023-09-18T22:33:23Z
last_indexed	2023-09-18T22:33:23Z
_version_	1777416435276972032

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

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