Co - evolving Best Response Strategies for P - S - Optimizing Negotiation using Evolutionary Algorithms
نویسنده
چکیده
Abstract—This paper presents the comparative study of two different evolutionary approaches, a genetic algorithm (GA) and an estimation of distribution algorithm (EDA), in co-evolving negotiation strategies with different preference criteria such as optimizing price and optimizing negotiation speed. Empirical studies demonstrate that both GA and EDA are successful in finding good solutions in price optimizing and speed optimizing negotiation, respectively. However, both are not successful in price and speed concurrent optimizing (P-S-Optimizing) negotiation. From these results, finally, this paper suggests a novel method to find best response strategies for P-S-Optimizing negotiation.
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