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Genetic algorithms with heuristics rules to solve multi source single product flexible multistage logistics network problems

To be successful in today’s active business competition, enterprises need to design and build effective flexible logistics networks. Since the flexible multistage logistic network (fMLN) problem is NP-hard, many researchers have attempted to use Meta-heuristics methods such as Genetic Algorithms (GA...

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Main Authors:	Bozorgi Rad, Seyed Yaser, Desa, Mohammad Ishak, Firoozi, Majid
Format:	Article
Published:	TextRoad Publication 2014
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.utm.my/id/eprint/59767/ http://www.textroad.com/JBASR-February,%202014.html
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id	my.utm.59767
record_format	eprints
spelling	my.utm.597672022-01-11T03:59:53Z http://eprints.utm.my/id/eprint/59767/ Genetic algorithms with heuristics rules to solve multi source single product flexible multistage logistics network problems Bozorgi Rad, Seyed Yaser Desa, Mohammad Ishak Firoozi, Majid QA75 Electronic computers. Computer science To be successful in today’s active business competition, enterprises need to design and build effective flexible logistics networks. Since the flexible multistage logistic network (fMLN) problem is NP-hard, many researchers have attempted to use Meta-heuristics methods such as Genetic Algorithms (GAs) to solve the problem. Previous research works using GA for fMLN only considered the problem as a single source, at least in the last network layer between retailer and customer. In real world, however, the problem is one of multi-source logistics network. In this research, the genetic algorithms with penalty method, called P-GA, is used to solve the multi source single product fMLN problem. It is shown however that the P-GA requires unreasonable elapsed time to obtain an acceptable solution. To speed up the algorithm, the research proceeds with the developments of heuristics rules for initialization, crossover and mutation within P-GA and named as HR-GA. This research shows the proposed HR-GA has substantially reduced the elapsed time to obtain better acceptable solution. TextRoad Publication 2014 Article PeerReviewed Bozorgi Rad, Seyed Yaser and Desa, Mohammad Ishak and Firoozi, Majid (2014) Genetic algorithms with heuristics rules to solve multi source single product flexible multistage logistics network problems. Journal of Basic and Applied Scientific Research, 4 (2). pp. 264-276. ISSN 2090-4304 http://www.textroad.com/JBASR-February,%202014.html
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Bozorgi Rad, Seyed Yaser Desa, Mohammad Ishak Firoozi, Majid Genetic algorithms with heuristics rules to solve multi source single product flexible multistage logistics network problems
description	To be successful in today’s active business competition, enterprises need to design and build effective flexible logistics networks. Since the flexible multistage logistic network (fMLN) problem is NP-hard, many researchers have attempted to use Meta-heuristics methods such as Genetic Algorithms (GAs) to solve the problem. Previous research works using GA for fMLN only considered the problem as a single source, at least in the last network layer between retailer and customer. In real world, however, the problem is one of multi-source logistics network. In this research, the genetic algorithms with penalty method, called P-GA, is used to solve the multi source single product fMLN problem. It is shown however that the P-GA requires unreasonable elapsed time to obtain an acceptable solution. To speed up the algorithm, the research proceeds with the developments of heuristics rules for initialization, crossover and mutation within P-GA and named as HR-GA. This research shows the proposed HR-GA has substantially reduced the elapsed time to obtain better acceptable solution.
format	Article
author	Bozorgi Rad, Seyed Yaser Desa, Mohammad Ishak Firoozi, Majid
author_facet	Bozorgi Rad, Seyed Yaser Desa, Mohammad Ishak Firoozi, Majid
author_sort	Bozorgi Rad, Seyed Yaser
title	Genetic algorithms with heuristics rules to solve multi source single product flexible multistage logistics network problems
title_short	Genetic algorithms with heuristics rules to solve multi source single product flexible multistage logistics network problems
title_full	Genetic algorithms with heuristics rules to solve multi source single product flexible multistage logistics network problems
title_fullStr	Genetic algorithms with heuristics rules to solve multi source single product flexible multistage logistics network problems
title_full_unstemmed	Genetic algorithms with heuristics rules to solve multi source single product flexible multistage logistics network problems
title_sort	genetic algorithms with heuristics rules to solve multi source single product flexible multistage logistics network problems
publisher	TextRoad Publication
publishDate	2014
url	http://eprints.utm.my/id/eprint/59767/ http://www.textroad.com/JBASR-February,%202014.html
_version_	1724073245665132544
score	13.211869

Genetic algorithms with heuristics rules to solve multi source single product flexible multistage logistics network problems

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