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.
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 ef- fectiveness, flexibility, and sensitivity, which were verified by different ore blending needs of a certain mine.
出处
《北京科技大学学报》
EI
CAS
CSCD
北大核心
2009年第11期1363-1367,共5页
Journal of University of Science and Technology Beijing
关键词
多目标规划
配矿
模糊优化
满意度
multi-objective programming
ore blending
fuzzy optimization
satisfaction degree
