基于模糊多目标优化算法的矿山配矿优化

Optimization of mine ore blending based on the fuzzy multi-objective optimum algorithm

  • 摘要: 从多目标配矿的复杂性出发,提出具有模糊性的多目标配矿问题,并设计出了基于管理者语言偏好和决策者满意度的模糊优化算法,该算法从最优性模型和重要性模型两方面进行改进.最后通过具体矿山实例对算法进行实现研究,根据实际配矿目标的各种要求,从算法的有效性、灵活性和灵敏性等特性进行分析.

     

    Abstract: The problem of fuzzy multi-objective ore blending was put forward. According to the linguistic preference information of managers and the satisfaction degree of decision makers, a fuzzy multi-objective optimum algorithm was designed to effectively deal with ore blending optimization. The algorithm was modified from optimum and importance models, and had the characteristics of effectiveness, flexibility, and sensitivity, which were verified by different ore blending needs of a certain mine.

     

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