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Genetic Algorithm for Forming Buyer Coalition with Bundles of Items in E-Marketplaces

  • Anon SukstrienwongEmail author
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Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 70)

Abstract

The benefits of buyer coalitions are well-known for electronic marketplaces. However, a few existing buyer coalition schemes over the Internet have focused on forming a buyer coalition with bundles of items. This paper presents an algorithm to form a buyer coalition with bundles of items by using genetic algorithms (GAs). The algorithm called GAGroupBuying finds the best disjoint subsets of all buyers based on the total utility which addresses the situation where a whole group of buyers can be partitioned into smaller sub-groups to obtain more utility than they could accomplish in the whole group. The proposed algorithm is compared with a previous algorithm called GroupPackageString as shown by Boongasame and Sukstrienwong (Emerging Intelligent Computing Technology and Applications, pp. 674–685, 2009). The results of GAGroupBuying simulation are found to be satisfactory with the total discount of a buyer coalition.

Keywords

Genetic algorithm Buyer coalition Bundles of items Coalition structure 

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Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  1. 1.Information Technology Department, School of Science and TechnologyBangkok UniversityBangkokThailand

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