A swarm-intelligence based solution for evolutionary game

Abstract

To address the problem of quick searching for evolutionary stable strategy in replicated dynamic mechanism, a solving algorithm based on parallel particle sub-swarm optimization (PSSO) is proposed. Firstly, evaluating function is introduced to integrate multiple objectives of all strategies. Secondly, multiplier method is used to derivate the fitness function. Finally, the optimal solution of strategy selection scheme is generated. The results show that the proposed algorithm performs better than standard particle swarm optimization in terms of optimal solution.