多目标优化量子进化算法及其在PID控制器中的应用 |
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引用本文: | 范胜辉,石玉,刘楠楠.多目标优化量子进化算法及其在PID控制器中的应用[J].佳木斯工学院学报,2010(2):165-168,171. |
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作者姓名: | 范胜辉 石玉 刘楠楠 |
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作者单位: | [1]中国直升机设计研究所,江西景德镇333001 [2]南京航空航天大学自动化学院,江苏南京210016 |
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基金项目: | 国家自然科学基金项目(60501022). |
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摘 要: | 目前量子进化算法主要应用于单目标优化问题.本文结合量子进化算法和经典多目标优化算法中常用的非支配排序技术,提出一种解决多目标优化问题的多目标优化量子进化算法(Multi—objective Optimization Quantum Evolutionary Algorithm,MOQEA),并将其应用于PID控制器参数整定.经过实验证明,无论是解的质量还是解的分布均匀性,MOQEA都优于经典多目标优化算法NSGA—II.
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关 键 词: | 量子进化算法 多目标 PID |
Multi--objective Optimization Quantum Evolutionary Algorithm and Its Application in PID Arguments Tuning |
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Authors: | FAN Sheng-hui SHI Yu LIU Nan-nan |
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Affiliation: | 1. China Helicoper Research and Development Institute,Jingdezhen 333001 ,China; 2. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China) |
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Abstract: | Now, QEA is mainly applied into single objective optimization problem. In this paper, a Multi--objective Optimization Quantum Evolutionary Algorithm (MOQEA) is proposed to solve the multi--objective optimization problem basing on the QEA and nondominated sorting technology. Experiment results of PID arguments tuning show that MOQEA is superior to traditional evolutionary algorithm NSGA--II both in solutions' quality and solutions' distribution uniformity. |
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Keywords: | QEA multi--objective PID |
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