A New Approach to Adapting Control Parameters in Differential Evolution Algorithm
作者： Liang Feng , Yin-Fei Yang , Yu-Xuan Wang
DOI: 10.1007/978-3-540-89694-4_3
关键词: Differential evolution 、 Adaptive control 、 Mathematical optimization 、 Normal distribution 、 Standard deviation 、 Set (abstract data type) 、 Variable (computer science) 、 Benchmark (computing) 、 Optimal control 、 Control theory 、 Mathematics
摘要: In Differential Evolution, control parameters play important roles in balancing the exploration and exploitation capability, different are required for types of problems. However, finding optimal each problem is difficult not realistic. Hence, we propose a method to adjust them adaptively this paper. our proposed method, whether or current will be adjusted based on probability that calculated according their previous performance. Besides, normal distribution with variable mean value standard deviation employed generate new parameters. Performance set benchmark functions indicates converges fast achieves competitive results.
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