An Improved Differential Evolution for Optimization of Chemical Process

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 compurationally expensive objective function. To overcome this .difficulty, the concept of...

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Published inChinese journal of chemical engineering Vol. 16; no. 2; pp. 228 - 234
Main Author 吴燕玲 卢建刚 孙优贤
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.04.2008
Subjects
convergence
differential evolution
optimization
search space
vaccine
化工过程
差分进化算法
differential evolution
vaccine
search space
convergence
optimization
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ISSN1004-9541
2210-321X
DOI10.1016/S1004-9541(08)60068-3

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Summary: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 compurationally 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.
Bibliography:differential evolution, vaccine, convergence, search space, optimization
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ISSN:1004-9541
2210-321X
DOI:10.1016/S1004-9541(08)60068-3