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Genetic algorithm enhancement to solve multi source multi product flexible multistage logistics network

Bozorgirad, Seyedyaser and Desa, Mohammad Ishak and Wibowo, Antoni (2012) Genetic algorithm enhancement to solve multi source multi product flexible multistage logistics network. International Journal of Computer Science Issues, 9 (3). pp. 157-164. ISSN 1694-0784

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Official URL: https://www.ijcsi.org/articles/Genetic-algorithm-e...

Abstract

To be successful in today’s active business competition, enterprises need to design and build a productive and flexible logistics network. The flexible multistage logistic network (fMLN) problem is NP-hard. The previous papers were considering the problem as a single source logistic network problem while in real world we face a multi source logistic network problem. In this paper, we shall find the minimum cost of fMLN using proposed Route Based Genetic Algorithm (RBGA) with considering a multi source multi product flexible multistage logistics network and the comparison based on numerical result between RB-GA and standard gentic algorithm is presented. We applied the penalty method in GA and new representation of GA to satisfy all existing constraints when. Additionally, we investigate all products amounts shipped from plants to customer. The best every product delivery route for each customer considering the constraints fulfilled will be found.

Item Type:Article
Uncontrolled Keywords:multi source multi product flexible multistage logistics network, genetic algorithms, penalty methods
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System
ID Code:30488
Deposited By: Yanti Mohd Shah
Deposited On:26 Feb 2014 05:20
Last Modified:27 Jun 2019 06:08

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