A Hybrid Mip/Heuristic Model for Experience Based Driver Assignment
Conference Proceeding Article
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.
Artificial Intelligence and Robotics | Business | Operations Research, Systems Engineering and Industrial Engineering
Intelligent Systems and Decision Analytics
IEEE Conference Tools with Artificial Intelligence (ICTAI)
LAU, Hoong Chuin; NG, K. M.; and Thangarajoo, Ramesh.
A Hybrid Mip/Heuristic Model for Experience Based Driver Assignment. (2006). IEEE Conference Tools with Artificial Intelligence (ICTAI). 407-415. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/362