中国电机工程学报2011，Vol.31Issue(2)：85-90,6.
基于非支配排序遗传算法的无约束多目标优化配煤模型
A Model of Unconstrained Multi-objective Optimization of Coal Blending Based on the Non-dominated Sorting Genetic Algorithm
摘要
Abstract
To overcome the shortcomings of singleobjective optimization model for coal blending, a multiobjective optimization model which all the coal quality indicators were considered as optimum targets was established.According to the characteristics of each indicator, three objective functions were built to reflect the security,economical and environmental requirements of coal blending.As a good multi-objective optimization algorithm,non-dominated sorting genetic algorithm (NSGA-Ⅱ) with some appropriate improvements was used to gain the optimum solution. This method was applied in a multi-objective coal blending problem of a real power plant, and well-distributed Pareto-optimal solutions were obtained. These blending solutions can provide a variety of options for the power plant personnel in a number of interrelated decision-making between the objectives.关键词
火电厂/配煤/多目标优化/非支配排序遗传算法分类
能源科技引用本文复制引用
夏季,华志刚,彭鹏,陆潘,张成,陈刚..基于非支配排序遗传算法的无约束多目标优化配煤模型[J].中国电机工程学报,2011,31(2):85-90,6.基金项目
国家自然科学基金项目(50721005),广东省重大科技专项项目资助(2008A080800029). （50721005）
