Adaptive strategy selection in differential evolution for numerical optimization: An empirical study

@article{Gong2011AdaptiveSS,
  title={Adaptive strategy selection in differential evolution for numerical optimization: An empirical study},
  author={Wenyin Gong and {\'A}lvaro Fialho and Zhihua Cai and Hui Li},
  journal={Inf. Sci.},
  year={2011},
  volume={181},
  pages={5364-5386}
}
Differential evolution (DE) is a versatile and efficient evolutionary algorithm for global numerical optimization, which has been widely used in different application fields. However, different strategies have been proposed for the generation of new solutions, and the selection of which of them should be applied is critical for the DE performance, besides being problem-dependent. In this paper, we present two DE variants with adaptive strategy selection: two different techniques, namely… CONTINUE READING
37 Citations
0 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 37 extracted citations

Similar Papers

Loading similar papers…