Cooperative Framework Fireworks Algorithm with Covariance Mutation
- Yu, Chao
- Kelley, Ling Chen
- Tan, Ying
Publication date
January 2016
DOI Publisher
IEEE Congress on Evolutionary Computation (CEC) held as part of IEEE World Congress on Computational Intelligence (IEEE WCCI)Abstract
Since fireworks algorithm (FWA) debuted in 2010, a dozen proposals of improvement for FWA had been published in an effort to enhance, refine and optimize accuracy while minimizing calculation speed and volume. In this paper, we introduce the covariance mutation operator into cooperative framework fireworks algorithm (CoFFWA) to create cooperative framework fireworks algorithm with covariance mutation (CoFFWA-CM) in order to solve the Congress on Evolutionary Computation (CEC 2016) competition functions on single objective optimization. The experimental results are calculated on all 10-, 30-, 50-and 100-dimensional functions.CPCI-S(ISTP)chaoyu@pku.edu.cn; lingchenkelley@gmail.com; ytan@pku.edu.cn1196-120
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