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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2011.11
- 수록면
- 600 - 607 (8page)
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초록· 키워드
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This paper proposes efficient logistics models for an inbound lot-sizing and outbound dispatching problem for single product in a third-party logistics (3PL) distribution center. In the environment of a supply chain, demands are dynamic over a discrete and finite time horizon. Each demand has a time window in which it must be satisfied. Ordered products are shipped by multiple vehicle types and the freight cost is proportional to the vehicle-types and the number of vehicles used. First, we formulate a mixed integer programming model. Since it is difficult to solve the model as the size of real problem being very large, we design a conventional genetic algorithm with a local search heuristic (HGA) and an improved genetic algorithm called adaptive genetic algorithm (AGA). AGA spontaneously adjusts crossover and mutation rate depending upon the status of current population. Finally, we conduct some computational experiments to evaluate the performance of AGA with HGA.
목차
Abstract
1. Introduction
2. 최적화 모형
3. 유전알고리즘
4. 자율유전알고리즘(Adaptive Genetic Algorithm: AGA)
5. 컴퓨터 실험
6. 결론
References
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UCI(KEPA) : I410-ECN-0101-2013-530-003185057