A hybrid method of differential evolution with application to optimal control problems of a bioprocess system

被引：83

作者：

Chiou, JP ^{[1
]}

Wang, FS ^{[1
]}

机构：

[1] Natl Chung Cheng Univ, Dept Elect Engn, Chiayi 621, Taiwan

来源：

1998 IEEE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION - PROCEEDINGS | 1998年

关键词：

D O I：

10.1109/ICEC.1998.700101

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A hybrid method of differential evolution is developed in this study: Two additional operations, accelerated phase and migrating phase, are embedded into the original version of differential evolution. These two phases are used for the improvement of the convergence speed without decreasing the diversity among the individuals. The method of multiplier updating incorporated in the proposed method is introduced to solve the constrained optimization problems. The method is then extended to apply for solving the simultaneous optimal control and optimal parameter selection problems of a bioprocess system.

引用

页码：627 / 632

页数：6