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18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06)
A Hybrid MIP/Heuristic Model for Experience Based Driver Assignment
Arlington, Virginia
November 13-November 15
ISBN: 0-7695-2728-0
ASCII Text
x 
 
Hoong Chuin Lau, Ramesh Thangarajoo, Kien Ming Ng, "A Hybrid MIP/Heuristic Model for Experience Based Driver Assignment," Tools with Artificial Intelligence, IEEE International Conference on, pp. 407-415, 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICTAI.2006.12,
author = {Hoong Chuin Lau and Ramesh Thangarajoo and Kien Ming Ng},
title = {A Hybrid MIP/Heuristic Model for Experience Based Driver Assignment},
journal ={Tools with Artificial Intelligence, IEEE International Conference on},
volume = {0},
year = {2006},
issn = {1082-3409},
pages = {407-415},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICTAI.2006.12},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Tools with Artificial Intelligence, IEEE International Conference on
TI - A Hybrid MIP/Heuristic Model for Experience Based Driver Assignment
SN - 1082-3409
SP407
EP415
A1 - Hoong Chuin Lau,
A1 - Ramesh Thangarajoo,
A1 - Kien Ming Ng,
PY - 2006
KW - null
VL - 0
JA - Tools with Artificial Intelligence, IEEE International Conference on
ER -
 
Hoong Chuin Lau, Singapore Management University, Singapore
Ramesh Thangarajoo, National University of Singapore, Singapore
Kien Ming Ng, National University of Singapore, Singapore
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.
Citation:
Hoong Chuin Lau, Ramesh Thangarajoo, Kien Ming Ng, "A Hybrid MIP/Heuristic Model for Experience Based Driver Assignment," ictai, pp.407-415, 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06), 2006
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