Optimal strategies for multi objective games and their search by evolutionary multi objective optimization

  title={Optimal strategies for multi objective games and their search by evolutionary multi objective optimization},
  author={Gideon Avigad and Erella Eisenstadt and Miri Weiss-Cohen},
  journal={2011 IEEE Conference on Computational Intelligence and Games (CIG'11)},
While both games and Multi-Objective Optimization (MOO) have been studied extensively in the literature, Multi-Objective Games (MOGs) have received less research attention. Existing studies deal mainly with mathematical formulations of the optimum. However, a definition and search for the representation of the optimal set, in the multi objective space, has not been attended. More specifically, a Pareto front for MOGs has not been defined or searched for in a concise way. In this paper we define… CONTINUE READING


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