An adaptive differential evolution algorithm with novel mutation and crossover strategies for global numerical optimization

• Main Authors: Suganthan, P. N., Ghosh, Saurav, Roy, Subhrajit, Islam, Sk. Minhazul, Das, Swagatam
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Article
• 語言: English
• 出版: 2013
• 主題: DRNTU::Engineering::Electrical and electronic engineering
• 在線閱讀: https://hdl.handle.net/10356/96270; http://hdl.handle.net/10220/11442
• 機構: Nanyang Technological University

Differential evolution (DE) is one of the most powerful stochastic real parameter optimizers of current interest. In this paper, we propose a new mutation strategy, a fitness- induced parent selection scheme for the binomial crossover of DE, and a simple but effective scheme of adapting two of its m...