期刊
EXPERT SYSTEMS WITH APPLICATIONS
卷 38, 期 4, 页码 4169-4180出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2010.09.079
关键词
E-brokerage; Multi-attribute exchanges; Multi-objective optimization; Quantity discounts; Genetic algorithm; Simulated annealing
类别
资金
- National Natural Science Foundation of China [70801012, 90924016, 70721001, 70525002]
- China Postdoctoral Science Foundation [20080441087, 200902543]
- Northeastern University Postdoctoral Science Foundation of China [20080413]
- Hong Kong Polytechnic University [G-YF56]
Electronic brokerages (E-brokerages) are Internet-based organizations that enable buyers and sellers to do business with each other. While E-brokerages have become a significant sector of E-commerce, theory and guidelines for matching the multi-attribute exchange in E-brokerage are sparse. This paper presents an approach to optimize the matching of one-shot multi-attribute exchanges with quantity discounts. Firstly, based on the conception and definition of matching degree and quantity discount, a multi-objective optimization model is proposed to maximize the matching degree and trade volume. This model belongs to a class of multi-objective nonlinear transportation problems and cannot be solved effectively by conventional methods, especially when large-scale problems are involved. Hence, secondly, a novel hybrid multi-objective meta-heuristic algorithm named multi-objective simulated annealing genetic algorithm (MOSAGA) has been developed to solve the proposed model. Finally, the computational results and analyses of some numerical problems are given to illustrate the application and performance of the proposed model and algorithm. (C) 2010 Elsevier Ltd. All rights reserved.
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