An Improved Differential Evolution for Optimization of Chemical Process

吴燕玲; 卢建刚; 孙优贤

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An Improved Differential Evolution for Optimization of Chemical Process

Updated：2026-01-06

- An Improved Differential Evolution for Optimization of Chemical Process
- Chinese Journal of Chemical Engineering Vol. 16, Issue 2, Pages: 228-234(2008)
- Affiliations：
  
  1. State Key Laboratory of Industrial Control Technology, Zhejiang University,Hangzhou,China,310027
  2. Department of Automation, Anhui University,Hefei,China,230039
- Author bio：
- Funds：
- DOI：
  CLC：
- Published：2008
- Accepted：
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WU Yanling, LU Jiangang, SUN Youxian. An Improved Differential Evolution for Optimization of Chemical Process[J]. , 2008, 16(2): 228-234.
DOI：

WU Yanling, LU Jiangang, SUN Youxian. An Improved Differential Evolution for Optimization of Chemical Process[J]. , 2008, 16(2): 228-234. DOI：

摘要

Abstract

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 computationally 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 effectiveness of vaccines

a new vaccine autonomous obtaining method

and a method of deciding the probability of vaccination 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.

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