基于APSO算法的多目标满意优化研究  

Multi-objective Satisfactory Optimization Based on the APSO

作　　者：袁德国[1] 魏子淋 成艳荣[1] 陆廷金[3] 

机构地区：[1]空军工程大学工程学院,西安710038 [2]空军驻京西地区军代表室,北京100074 [3]徐州空军学院,徐州221000

出　　处：《计算机科学》2009年第5期206-210,共5页Computer Science

摘　　要：提出了多变量系统的多参数多目标满意优化方法。将系统性能指标要求的满意设计与控制器参数优化融为一体考虑,通过设计性能指标满意度函数和系统综合满意度函数,构造出多目标系统满意优化模型,并用自适应粒子群算法实现其满意优化。仿真结果显示该方法可获得比传统粒子群算法更满意的综合性能指标,表明了该方法的有效性和实用性。This paper proposed a satisfactory optimization method for the multivariable control system with multi-parameters and multi-objectives. By designing satisfactory rate functions of performance criterions and comprehensive satisfactory rate functions of the system, satisfactory optimization model of multi-objectives control system was construeted, in which satisfactory design of performance criterions and optimization of controller parameters were considered together. Then, the satisfactory optimization design procedure was given in detail by using APSO. Simulation results show that better performances can be obtained with satisfactory optimization method than those with traditional PSO, indicating that the method introduced is effective and practical.

关 键 词：自适应粒子群算法 多目标优化 满意度 满意优化 数字滤波器 

分 类 号：TH122[机械工程—机械设计及理论]