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

• Main Authors: Bozorgirad, Seyedyaser, Desa, Mohammad Ishak, Wibowo, Antoni
• Format: Article
• Published: IJCSI Publisher 2012
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/30488/; https://www.ijcsi.org/articles/Genetic-algorithm-enhancement-to-solve-multi-source-multi-product-flexible-multistage-logistics-network.php
• Institution: Universiti Teknologi Malaysia

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.