Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICTAI.2006.12
Title: A hybrid MIP/heuristic model for experience based driver assignment
Authors: Lau, H.C.
Thangarajoo, R. 
Ng, K.M. 
Issue Date: 2006
Source: Lau, H.C.,Thangarajoo, R.,Ng, K.M. (2006). A hybrid MIP/heuristic model for experience based driver assignment. Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI : 407-415. ScholarBank@NUS Repository. https://doi.org/10.1109/ICTAI.2006.12
Abstract: In this paper, we describe an interesting driver assignment problem that is computationally intensive to solve due to its combinatorial nature. A hybrid approach involoving mixed integer programming (MIP) and a heuristic is used to give good solutions to the problem within reasonable computation time. This approach attempts to utilize the strengths of MIP to search for an optimal solution, while letting the heuristic component address the complexity involved in the driver assignment problem so as to improve the time required to obtain a solution. Computational results are used to illustrate the performance of the approach. ©2006 IEEE.
Source Title: Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI
URI: http://scholarbank.nus.edu.sg/handle/10635/72240
ISBN: 0769527280
ISSN: 10823409
DOI: 10.1109/ICTAI.2006.12
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