Heuristics for a Bidding Problem
Publication Type
Journal Article
Publication Date
8-2006
Abstract
In this paper, we study a bidding problem which can be modeled as a set packing problem. A simulated annealing heuristic with three local moves, including an embedded branch-and-bound move, is developed for the problem. We compared the heuristic with the CPLEX 8.0 solver and the current best non-exact method, Casanova, using the standard CATS benchmark and other realistic test sets. Results show that the heuristic outperforms CPLEX and Casanova.
Keywords
Artificial intelligence, Bidding, Heuristics
Discipline
Operations and Supply Chain Management
Research Areas
Operations Management
Publication
Computers and Operations Research
Volume
33
Issue
8
First Page
2179
Last Page
2188
ISSN
0305-0548
Identifier
10.1016/j.cor.2005.01.007
Publisher
Elsevier
Citation
GUO, Yunsong; LIM, Andrew; RODRIGUES, Brian; and ZHU, Yejun.
Heuristics for a Bidding Problem. (2006). Computers and Operations Research. 33, (8), 2179-2188.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/2564
Additional URL
https://doi.org/10.1016/j.cor.2005.01.007