Abstract
In this paper, we deal with automated multi-issue concurrent negotiations. A buyer utilizes a number of threads for negotiating with a number of sellers. We propose a method based on the known PSO algorithm for threads coordination. The PSO algorithm is used to lead the buyer to the optimal solution (best deal) through threads team work. Moreover, we propose a weights adaptation scheme for optimizing buyer behavior and promoting efficiency. This way, we are able to provide an efficient mechanism for decision making in the buyer’s side. This is proved by our results through a wide range of experiments.
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Panagidi, K., Kolomvatsos, K., Hadjiefthymiades, S. (2013). On the Use of PSO with Weights Adaptation in Concurrent Multi-issue Negotiations. In: Omatu, S., Neves, J., Rodriguez, J., Paz Santana, J., Gonzalez, S. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent Systems and Computing, vol 217. Springer, Cham. https://doi.org/10.1007/978-3-319-00551-5_35
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DOI: https://doi.org/10.1007/978-3-319-00551-5_35
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-00550-8
Online ISBN: 978-3-319-00551-5
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