控制理论与应用2011，Vol.28Issue(12)：1740-1746,7.
基于线性规划和遗传–粒子群算法的烧结配料多目标综合优化方方法法
A multi-objective optimization algorithm for sintering proportion based on linear programming and genetic algorithm particle swam optimization
摘要
Abstract
Considering both energy conservation and cost reduction,we put forward an multi-objective optimization model that converts the sulfur content to comparable costs,according to the twice-mixed proportion in steel factories.Furthermore,a new optimization method that combines together the linear programming（LP） and the genetic algorithm particle swam optimization（GA–PSO） is developed to solve the model.This method first tries to find out the optimal proportion by using LP.If it fails,the GA–PSO,as the alternative,is applied to search the solution.The optimization method is applied to the ＂Optimization and Decision Supporting System＂ for a 360 m2 sintering production line in an iron factory.The operation results show that,with quality of sinter guaranteed,the costs as well as the amount of SO2 emission is reduced effectively.关键词
烧结/配料/线性规划（LP）/粒子群算法（PSO）/遗传算法（GA）Key words
sintering/proportion/linear programming（LP）/particle swam optimization（PSO）/genetic algorithm（GA）分类
信息技术与安全科学引用本文复制引用
李勇,吴敏,曹卫华,王春生,赖旭芝..基于线性规划和遗传–粒子群算法的烧结配料多目标综合优化方方法法[J].控制理论与应用,2011,28(12):1740-1746,7.基金项目
国家“863”计划资助项目 （）
