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Decision-making plays important role for people. Almost every day they must decide a decision to solve their problems. Mistaken in selection a decision makes happen to lose in the competition. When the problem is in multi-objective problem, decision-making becomes very complicated. In this paper, the objective is to build an intelligent agent to help the decision maker or the player with a decision support while playing a serious game in economic and emission dispatch problem. This intelligent agent is constructed by two stages; the initial stage is multi-objective optimization problem that uses NSGA2 method.
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