Paper Info
Title
A New Approach to Adapting Control Parameters in Differential Evolution Algorithm
Abstract
In Differential Evolution, control parameters play important roles in balancing the exploration and exploitation capability, and different control parameters are required for different types of problems. However, finding optimal control parameters for each problem is difficult and not realistic. Hence, we propose a method to adjust them adaptively in this paper. In our proposed method, whether or not the current control parameters will be adjusted is based on a probability that is adaptively calculated according to their previous performance. Besides, normal distribution with variable mean value and standard deviation is employed to generate new control parameters. Performance on a set of benchmark functions indicates that our proposed method converges fast and achieves competitive results.
Year
DOI
Venue
2008
10.1007/978-3-540-89694-4_3
SEAL
Keywords
Field
DocType
differential evolution,adapting control parameters,different type,different control parameter,optimal control parameter,differential evolution algorithm,control parameter,new control parameter,benchmark function,previous performance,new approach,current control parameter,optimal control,adaptive control,normal distribution,standard deviation
Mathematical optimization,Normal distribution,Optimal control,Mean value,Control theory,Computer science,Differential evolution,Adaptive control,Standard deviation,Differential evolution algorithm
Conference
Volume
ISSN
Citations 
5361
0302-9743
5
PageRank 
References 
Authors
0.52
8
3
Name
Order
Citations
PageRank
Liang Feng1121.02
Yinfei Yang29916.53
Yu-Xuan Wang365032.68