Adaptive genetic algorithm for the manufacturing/distribution chain planning
- Title
- Adaptive genetic algorithm for the manufacturing/distribution chain planning
- Author
- 김종수
- Issue Date
- 2003-09
- Publisher
- Korean Institute of Intelligent Systems (한국지능시스템학회)
- Citation
- Proceedings of the Korean Institute of Intelligent Systems 2003 Conference , page. 170-174
- Abstract
- In this research, we consider an integrated manufacturing/distribution planning problem in supply chain (SC) which has non-integer time lags. We focus on a capacitated manufacturing planning and capacity allocation problem for the system. We develop a mixed binary integer linear programming (MBLP) model and propose an efficient heuristic procedure using an adaptive genetic algorithm, which is composed of a regeneration procedure for evaluating infeasible chromosomes and the reduced costs from the LP-relaxation of the original model. The proposed an adaptive genetic algorithm was tested in terms of the solution accuracy and algorithm speed during numerical experiments. We found that our algorithm can generate the optimal solution within a reasonable computational time.
- URI
- https://www.koreascience.or.kr/article/CFKO200311922202394.pagehttps://repository.hanyang.ac.kr/handle/20.500.11754/156200
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > INDUSTRIAL AND MANAGEMENT ENGINEERING(산업경영공학과) > Articles
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