Using Segment-based Genetic Algorithm with Local Search to Find Approximate Solution for Multi-Stage Supply Chain Network Design Problem

Authors : Marjan Kuchaki Rafsanjani, Sadegh Eskandari

Pages : 0-0

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Publication Date : 2013-11-01

Article Type : Research Paper

Abstract :Designing an optimal supply chain network insert ignore into journalissuearticles values(SCN); is an NP-hard and highly nonlinear problem;  therefore, this problem may not be solved efficiently using conventional optimization methods. In this article,  we propose a genetic algorithm insert ignore into journalissuearticles values(GA); approach with segment-based operators combined with a local search  technique insert ignore into journalissuearticles values(SHGA); to solve the multistage-based SCN design problems. To evaluate the performance of the  proposed algorithm, we applied SHGA and other competing algorithms to SCNs with different features and  different parameters. The results obtained show that the proposed algorithm outperforms the other competing  algorithms.
Keywords : Supply Chain Network, Genetic Algorithm, Segment based Operators, Local Search

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