An Evolutionary Algorithm for Finding Efficient Solutions in Multi-Attribute Auctions

Date

2014-05-01

Author

Koksalan, Murat
Karakaya, Gülşah

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There is a growing interest in electronic auctions. Many researchers consider a single-attribute, although auctions are multi-attribute in nature in practice. Addressing multiple attributes increases the difficulty of the problem substantially. We develop an evolutionary algorithm (EA) for multi-attribute multi-item reverse auctions. We try to generate the whole Pareto front using the EA. We also develop heuristic procedures to find several good initial solutions and insert those in the initial population of the EA. We test the EA on a number of randomly generated problems and report our findings.

Subject Keywords

Multi-attribute auctions, Evolutionary algorithm

URI

https://hdl.handle.net/11511/42820

Journal

INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING

DOI

https://doi.org/10.1142/s021962201450062x

Collections

Department of Business Administration, Article

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Citation Formats

M. Koksalan and G. Karakaya, “An Evolutionary Algorithm for Finding Efficient Solutions in Multi-Attribute Auctions,” INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, pp. 649–673, 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/42820.