A New Genetic Algorithm for Web-based Negotiation Support System

摘要

Web-based negotiation support system not only should provide the convenience for communication, but also give efficient solution in reasonable time to eliminate conflict and improve the success probability of the negotiation. Therefore, in this paper, we construct a multi object combination optimization model that can be handled easily by genetic algorithm for the negotiation problem first, and then, considering the global convergence, concurrency features, we use a new genetic algorithm that hybridize local meta heuristic mechanism to speed the search process, improve the efficiency and overcome shortcomings such as the premature and lacking of diversity etc. Finally, we give an example to demonstrate that the proposed method is feasible and efficient.