摘要
氧化铝生料浆优化调配是一个多目标、多约束且非线性的0-1组合优化问题。首先给出了该问题的数学描述,然后根据调配过程判断生料浆质量是否达标的不同满意标准,基于满意度原理,将带约束的多目标优化问题转换为求多目标和多约束综合满意度最大的满意优化问题,最后提出一种改进的离散微粒群算法对该问题进行求解。实例仿真和工业应用证明了模型与算法的有效性。
Raw mix slurry optimal preparing of alumina is a multi-objective multi-constrained and nonlinear problem,and is also a O-1 combination optimization problem.In the paper,mathematical description of the problem is firstly given and different satis- factory standards are set to judge whether the quality of raw mix slurry reaches the standard of preparing process,based on the satisfactory degree theory,the multi-objective optimal problem with constraints is converted into the satisfactory optimal problem which solves the maximum of multi-objective and multi-constrained satisfactory, degree;finally,an improved discrete particle swarm optimization algorithm is proposed to solve this problem.The simulation case and industrial application show the effective- ness of the model and algorithm.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第1期197-201,共5页
Computer Engineering and Applications
基金
国家重点基础研究发展规划(973)(the National Grand Fundamental Research973Program of China under Grant No.2002CB312203)
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60574030)
湖南省自然科学基金(the Natural ScienceFoundation of Hunan Province of China under Grant No.06FD026)。
关键词
氧化铝生料浆调配过程
满意优化
微粒群算法
多目标
raw mix slurry preparing of alumina process
satisfactory optimization
Particle Swarm Optimization algorithm
multiobjective
