Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/40655
Title: New GA approach for the vehicle routing problem
Authors: Chin, Ang Juay
Kit, Ho Wee
Lim, Andrew 
Issue Date: 1999
Citation: Chin, Ang Juay,Kit, Ho Wee,Lim, Andrew (1999). New GA approach for the vehicle routing problem. Proceedings of the International Conference on Tools with Artificial Intelligence : 307-310. ScholarBank@NUS Repository.
Abstract: This paper focuses on the study of a hybrid of two search heuristics, Tabu Search (TS) and Genetic Algorithm (GA) on Vehicle Routing Problem with Time-Windows (VRPTW). TS is a local search technique that has been successfully applied to many NP-complete problems. On the other hand, GA which is capable of searching multiple search areas in a seach space is good in diversification. We shall investigate whether a hybrid of the two heuristic outperforms the individual heuristics alone.
Source Title: Proceedings of the International Conference on Tools with Artificial Intelligence
URI: http://scholarbank.nus.edu.sg/handle/10635/40655
ISSN: 10636730
Appears in Collections:Staff Publications

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