A fuzzy adaptive differential evolution algorithm

被引：65

作者：

Liu, JH ^{[1
]}

Lampinen, J ^{[1
]}

机构：

[1] Lappeenranta Univ Technol, Dept Informat Technol, FIN-53851 Lappeenranta, Finland

来源：

2002 IEEE REGION 10 CONFERENCE ON COMPUTERS, COMMUNICATIONS, CONTROL AND POWER ENGINEERING, VOLS I-III, PROCEEDINGS | 2002年

关键词：

differential evolution; evolutionary algorithms; fuzzy logic; adaptation;

D O I：

10.1109/TENCON.2002.1181348

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The Differential Evolution is a floating-point encoded evolutionary algorithm for global optimization over continuous spaces. This algorithm so far uses empirically chosen fixed search parameters. This study is to make the search more responsive to changes in the problem. This paper proposes a new adaptive form of DE having lower number of search parameters required to be set by the user a priori. The Fuzzy Differential Evolution algorithm uses fuzzy logic controllers whose inputs incorporate the relative function values and individuals of the successive generations to adapt the search parameters for the mutation operation and the crossover operation. Standard test functions are used to demonstrate. This new algorithm results in a faster convergence for these functions.

引用

页码：606 / 611

页数：6

共 12 条

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