Multi-Issue Negotiation Research Based On Niched Co-evolutionary Genetic Algorithm

Authors:
Yong Yuan;Yong-quan Liang
Affiliations:
Shandong University of Science and Technology, China;Shandong University of Science and Technology, China
Venue:
SNPD '07 Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 01
Year:
2007

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Abstract

This paper presents a simulation algorithm called SANCGA for bilateral multi-issue negotiation based on co-evolutionary genetic algorithm and isolated niche technique, and designs an experiment to simulate the co-evolutionary strategy learning process in an alternating offer negotiation scenario. The experiment results validate that SANCGA algorithm can form local niches in the strategy populations and generate an approximate Pareto optimal strategy set.