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Using a Lagrangian Heuristic for a Combinatorial Auction Problem
Hong Kong, China November 14-November 16
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICTAI.2005.12617th IEEE International Conference on ...
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Y. Guo, National University of Singapore
A. Lim, Hong Kong University of Science and Technology
B. Rodrigues, Singapore Management University
J. Tang, Hong Kong University of Science and Technology
In this paper, a combinatorial auction problem is modeled as a NP-complete set packing problem and a Lagrangian relaxation based heuristic algorithm is proposed. Extensive experiments are conducted using benchmark CATS test sets and more complex test sets. The algorithm provides optimal solutions for most test sets and is always 1% from the optimal solutions for all CATS test sets. Comparisons with CPLEX 8.0 are also provided, which show that the algorithm provides good solutions.
Citation:
Y. Guo, A. Lim, B. Rodrigues, J. Tang, "Using a Lagrangian Heuristic for a Combinatorial Auction Problem," ictai, pp.99-103, 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005
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