表紙画像

Multi-Objectives Ant Colony System For Solving Multi-Objectives Capacitated Vehicle Routing Problem

As a combinatorial optimization problem, the capacitated vehicle routing problem (CVRP) is a vital one in the domains of distribution, transportation and logistics. Despite the fact that many researchers have solved the problem using a single objective, only little attention has been given to multi-...

詳細記述

保存先:
書誌詳細
主要な著者: Mutar, Modhi Lafta, Mohd Aboobaider, Burhanuddin, Hameed, Asaad Shakir, Yusof, Norzihani, Jabbar Mohammed, Ali Abdul, Alrifaie, Mohammed F.
フォーマット: 論文
言語:English
出版事項: Little Lion Scientific Islamabad Pakistan 2020
オンライン･アクセス:http://eprints.utem.edu.my/id/eprint/25274/2/MODHILAFTABURHANUDDINMULTI-OBJECTIVES%20ANT%20COLONY%20SYSTEM%20FOR2020.PDF
http://eprints.utem.edu.my/id/eprint/25274/
http://www.jatit.org/volumes/Vol98No24/8Vol98No24.pdf
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
id my.utem.eprints.25274
record_format eprints
spelling my.utem.eprints.252742021-08-26T15:44:29Z http://eprints.utem.edu.my/id/eprint/25274/ Multi-Objectives Ant Colony System For Solving Multi-Objectives Capacitated Vehicle Routing Problem Mutar, Modhi Lafta Mohd Aboobaider, Burhanuddin Hameed, Asaad Shakir Yusof, Norzihani Jabbar Mohammed, Ali Abdul Alrifaie, Mohammed F. As a combinatorial optimization problem, the capacitated vehicle routing problem (CVRP) is a vital one in the domains of distribution, transportation and logistics. Despite the fact that many researchers have solved the problem using a single objective, only little attention has been given to multi-objective optimization. As compared to multi-objectives, the comparison of solutions is easier with single-objective optimization fitness function. In this paper, the following objectives were achieved: (i) in view of the domain of the multiobjective CVRP, the total distance traveled by the vehicles and the total number of vehicles used are reduced, and (ii) in the view of the technique, a multi-objective Ant Colony System is proposed to solve the multiobjective of CVRP based on the experience of sub-paths. The proposed algorithm was evaluated using some standard benchmark problems of CVRP. The results show that the algorithm which has been proposed in this study is highly competitive and quite effective for multi-objective optimization of CVRP Little Lion Scientific Islamabad Pakistan 2020-12 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/25274/2/MODHILAFTABURHANUDDINMULTI-OBJECTIVES%20ANT%20COLONY%20SYSTEM%20FOR2020.PDF Mutar, Modhi Lafta and Mohd Aboobaider, Burhanuddin and Hameed, Asaad Shakir and Yusof, Norzihani and Jabbar Mohammed, Ali Abdul and Alrifaie, Mohammed F. (2020) Multi-Objectives Ant Colony System For Solving Multi-Objectives Capacitated Vehicle Routing Problem. Journal of Theoretical and Applied Information Technology, 98 (24). pp. 4014-4027. ISSN 1992-8645 http://www.jatit.org/volumes/Vol98No24/8Vol98No24.pdf
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description As a combinatorial optimization problem, the capacitated vehicle routing problem (CVRP) is a vital one in the domains of distribution, transportation and logistics. Despite the fact that many researchers have solved the problem using a single objective, only little attention has been given to multi-objective optimization. As compared to multi-objectives, the comparison of solutions is easier with single-objective optimization fitness function. In this paper, the following objectives were achieved: (i) in view of the domain of the multiobjective CVRP, the total distance traveled by the vehicles and the total number of vehicles used are reduced, and (ii) in the view of the technique, a multi-objective Ant Colony System is proposed to solve the multiobjective of CVRP based on the experience of sub-paths. The proposed algorithm was evaluated using some standard benchmark problems of CVRP. The results show that the algorithm which has been proposed in this study is highly competitive and quite effective for multi-objective optimization of CVRP
format Article
author Mutar, Modhi Lafta
Mohd Aboobaider, Burhanuddin
Hameed, Asaad Shakir
Yusof, Norzihani
Jabbar Mohammed, Ali Abdul
Alrifaie, Mohammed F.
spellingShingle Mutar, Modhi Lafta
Mohd Aboobaider, Burhanuddin
Hameed, Asaad Shakir
Yusof, Norzihani
Jabbar Mohammed, Ali Abdul
Alrifaie, Mohammed F.
Multi-Objectives Ant Colony System For Solving Multi-Objectives Capacitated Vehicle Routing Problem
author_facet Mutar, Modhi Lafta
Mohd Aboobaider, Burhanuddin
Hameed, Asaad Shakir
Yusof, Norzihani
Jabbar Mohammed, Ali Abdul
Alrifaie, Mohammed F.
author_sort Mutar, Modhi Lafta
title Multi-Objectives Ant Colony System For Solving Multi-Objectives Capacitated Vehicle Routing Problem
title_short Multi-Objectives Ant Colony System For Solving Multi-Objectives Capacitated Vehicle Routing Problem
title_full Multi-Objectives Ant Colony System For Solving Multi-Objectives Capacitated Vehicle Routing Problem
title_fullStr Multi-Objectives Ant Colony System For Solving Multi-Objectives Capacitated Vehicle Routing Problem
title_full_unstemmed Multi-Objectives Ant Colony System For Solving Multi-Objectives Capacitated Vehicle Routing Problem
title_sort multi-objectives ant colony system for solving multi-objectives capacitated vehicle routing problem
publisher Little Lion Scientific Islamabad Pakistan
publishDate 2020
url http://eprints.utem.edu.my/id/eprint/25274/2/MODHILAFTABURHANUDDINMULTI-OBJECTIVES%20ANT%20COLONY%20SYSTEM%20FOR2020.PDF
http://eprints.utem.edu.my/id/eprint/25274/
http://www.jatit.org/volumes/Vol98No24/8Vol98No24.pdf
_version_ 1709671930744799232
score 13.251813

類似資料