一种改进的差分进化算法及其在化工过程优化中的应用

TQ0; Differential evolution (DE) is an evolutionary optimization method, which has been successfully used in many practical cases. However, DE involves large computation time, especially, when used to optimize the compu- tationally expensive objective function. To overcome this difficulty, the conce...

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Bibliographic Details
Published in中国化学工程学报（英文版） Vol. 16; no. 2; pp. 228 - 234
Main Authors 吴燕玲, 卢建刚, 孙优贤
Format Journal Article
LanguageChinese
Published State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China 2008
Department of Automation, Anhui University, Hefei 230039, China%State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China
Subjects
differential evolution
vaccine
convergence
optimization
search space
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Summary:TQ0; Differential evolution (DE) is an evolutionary optimization method, which has been successfully used in many practical cases. However, DE involves large computation time, especially, when used to optimize the compu- tationally expensive objective function. To overcome this difficulty, the concept of immunity based on vaccination is used to help proliferate excellent schemata and to restrain the degenerate phenomenon. To improve the effective- ness of vaccines, a new vaccine autonomous obtaining method, and a method of deciding the probability of vacci- nation are proposed. In addition, a method for modifying the search space dynamically is proposed to enhance the possibility of converging to the true global optimum. Experiments showed that the improved DE performs better than the classical DE significantly.
ISSN:1004-9541
2210-321X