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Heuristics for a bidding problem

delete2006-08-01
delete26
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OA
AI
Y
Yong Guo
A
Andrew Lim
B
Brian Rodrigues
Y
Yejun Zhu
DOI:10.1016/j.cor.2005.01.007delete
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摘要

摘要

En 中文
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. (c) 2005 Elsevier Ltd. All rights reserved.
Keyword:
bidding
heuristics
artificial intelligence
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C
Computers and Operations Research
IF:
4.3
论文数:
6.5K
被引数:
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