Abstract
![CDATA[This paper presents a supply chain network in which supplier selection, lateral transshipment, and vehicle routing can be involved. We develop a Hybrid Fuzzy Optimization Model (HFOM) based on the integration of fuzzy logic and genetic algorithms to solve the problem. In order to demonstrate the effectiveness of the HFOM, several approaches including branch and bound, standard GA, simulated annealing, and tabu search, are utilized to compare with the HFOM through simulations. Results show that the HFOM outperforms other search methods.]]
Original language | English |
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Title of host publication | Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 29-31 May 2012, Chongqing, China |
Publisher | IEEE |
Pages | 404-408 |
Number of pages | 5 |
ISBN (Print) | 9781467300254 |
DOIs | |
Publication status | Published - 2012 |
Event | International Conference on Fuzzy Systems and Knowledge Discovery - Duration: 29 May 2012 → … |
Conference
Conference | International Conference on Fuzzy Systems and Knowledge Discovery |
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Period | 29/05/12 → … |
Keywords
- genetic algorithms
- business logistics
- supply chain management
- fuzzy logic