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),...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2017
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/22435/ http://umpir.ump.edu.my/id/eprint/22435/1/a%20comprehensive%20study%20ant%20colony1.pdf |
| _version_ | 1848821594379517952 |
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| 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 |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T02:27:50Z |
| format | Conference or Workshop Item |
| id | ump-22435 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:27:50Z |
| publishDate | 2017 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 (Published) https://doi.org/10.1109/ROEDUNET.2017.8123738 |
| 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 |
| title | 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_short | A comprehensive study: Ant Colony Optimization (ACO) for Facility Layout Problem |
| title_sort | comprehensive study: ant colony optimization (aco) for facility layout problem |
| topic | QA75 Electronic computers. Computer science |
| 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 |