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A fuzzy satisficing method for electric power plant coal purchase using genetic algorithms

机译:基于遗传算法的电厂购煤模糊满意度法。

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摘要

In this paper, we treat coal purchase planning in a real electric power plant. Several complex constraints as well as multiple vague goals are involved in the planning problem. The conventional mixed integer programming approach is in vain because of its complexity and multiple vague goals. We apply a fuzzy satisficing method to deal with the vagueness of the goals. Utilizing a desirable property of the problem, we show the complex problem can be solved by a couple of rules and genetic algorithms. The validity of the proposed approach is verified by numerical simulations.
机译:在本文中,我们将处理真实电厂中的煤炭购买计划。规划问题涉及几个复杂的约束以及多个模糊的目标。传统的混合整数编程方法由于其复杂性和多个模糊的目标而徒劳无功。我们使用模糊满足方法来处理目标的模糊性。利用问题的理想性质,我们证明了可以通过几个规则和遗传算法解决复杂的问题。数值仿真验证了该方法的有效性。

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