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基于模糊多目標優化算法的礦山配礦優化

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

  • 摘要: 從多目標配礦的復雜性出發,提出具有模糊性的多目標配礦問題,并設計出了基于管理者語言偏好和決策者滿意度的模糊優化算法,該算法從最優性模型和重要性模型兩方面進行改進.最后通過具體礦山實例對算法進行實現研究,根據實際配礦目標的各種要求,從算法的有效性、靈活性和靈敏性等特性進行分析.

     

    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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