| Full text | |
| Author(s): |
de Andrade, Carlos Eduardo
[1]
;
Toso, Rodrigo Franco
[2]
;
Resende, Mauricio G. C.
[3]
;
Miyazawa, Flavio Keidi
[1]
Total Authors: 4
|
| Affiliation: | [1] Univ Estadual Campinas, Inst Comp, BR-13083852 Campinas, SP - Brazil
[2] Rutgers State Univ, Dept Comp Sci, Piscataway, NJ 08854 - USA
[3] AT&T Labs Res, Network Evolut Res Dept, Middletown, NJ 07748 - USA
Total Affiliations: 3
|
| Document type: | Journal article |
| Source: | EVOLUTIONARY COMPUTATION; v. 23, n. 2, p. 279-307, SUM 2015. |
| Web of Science Citations: | 5 |
| Abstract | |
In this paper we address the problem of picking a subset of bids in a general combinatorial auction so as to maximize the overall profit using the first-pricemodel. This winner determination problem assumes that a single bidding round is held to determine both the winners and prices to be paid. We introduce six variants of biased random-key genetic algorithms for this problem. Three of them use a novel initialization technique thatmakes use of solutions of intermediate linear programming relaxations of an exact mixed integer linear programming model as initial chromosomes of the population. An experimental evaluation compares the effectiveness of the proposed algorithms with the standard mixed linear integer programming formulation, a specialized exact algorithm, and the best-performing heuristics proposed for this problem. The proposed algorithms are competitive and offer strong results, mainly for large-scale auctions. (AU) | |
| FAPESP's process: | 12/08222-0 - Algorithms for Winner determination and Precification problems in combinatorial Auctions |
| Grantee: | Carlos Eduardo de Andrade |
| Support Opportunities: | Scholarships abroad - Research Internship - Doctorate |
| FAPESP's process: | 10/05233-5 - Evolutionary algorithms for some problems in telecommunications |
| Grantee: | Carlos Eduardo de Andrade |
| Support Opportunities: | Scholarships in Brazil - Doctorate |