Multi-objective satisfactory optimization for raw mix slurry preparing process based on Particle Swarm Optimization

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (1): 197-201.

• 工程与应用 • Previous Articles Next Articles

Multi-objective satisfactory optimization for raw mix slurry preparing process based on Particle Swarm Optimization

WANG Ya-lin¹,WANG Ning¹,YANG Chun-hua¹,GUI Wei-hua¹,ZHANG Chuan-fu²

1.School of Information Science and Engineering，Central South University，Changsha 410083，China
2.School of Metallurgical Science and Engineering，Central South University，Changsha 410083，China

Received:1900-01-01 Revised:1900-01-01 Online:2008-01-01 Published:2008-01-01
Contact: WANG Ya-lin

基于微粒群算法的生料浆调配多目标满意优化

王雅琳¹,王宁¹,阳春华¹,桂卫华¹,张传福²

1.中南大学信息科学与工程学院，长沙 410083
2.中南大学冶金科学与工程学院，长沙 410083

通讯作者: 王雅琳

Abstract

Abstract: Raw mix slurry optimal preparing of alumina is a multi-objective multi-constrained and nonlinear problem，and is also a 0-1 combination optimization problem.In the paper，mathematical description of the problem is firstly given and different satisfactory 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 effectiveness of the model and algorithm.

Key words: raw mix slurry preparing of alumina process, satisfactory optimization, Particle Swarm Optimization algorithm, multi-objective

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

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

WANG Ya-lin¹,WANG Ning¹,YANG Chun-hua¹,GUI Wei-hua¹,ZHANG Chuan-fu². Multi-objective satisfactory optimization for raw mix slurry preparing process based on Particle Swarm Optimization[J]. Computer Engineering and Applications, 2008, 44(1): 197-201.

王雅琳¹,王宁¹,阳春华¹,桂卫华¹,张传福². 基于微粒群算法的生料浆调配多目标满意优化[J]. 计算机工程与应用, 2008, 44(1): 197-201.

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Multi-objective satisfactory optimization for raw mix slurry preparing process based on Particle Swarm Optimization

基于微粒群算法的生料浆调配多目标满意优化

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