- Cankaya University Journal of Science and Engineering
- Vol: 10 Issue: 2
- Using Segment-based Genetic Algorithm with Local Search to Find Approximate Solution for Multi-Stage...
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
View : 10 | Download : 7
Publication Date : 2013-11-01
Article Type : Research
Abstract :Designing an optimal supply chain network (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 (GA) approach with segment-based operators combined with a local search technique (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