A hybrid cooperative differential evolution assisted by CMA-ES with local search mechanism
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-021-06849-z.pdf
Reference55 articles.
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2. Zhao F, He X, Wang L (2020) A two-stage cooperative evolutionary algorithm With problem-specific knowledge for energy-efficient scheduling of no-wait flow-shop problem. IEEE Trans Cybern. https://doi.org/10.1109/tcyb.2020.3025662
3. Zhao W, Wang L, Zhang Z (2020) Artificial ecosystem-based optimization: a novel nature-inspired meta-heuristic algorithm. Neural Comput Appl 32:9383–9425. https://doi.org/10.1007/s00521-019-04452-x
4. Hussain K, Salleh MNM, Cheng S, Shi Y (2019) On the exploration and exploitation in popular swarm-based metaheuristic algorithms. Neural Comput Appl 31:7665–7683. https://doi.org/10.1007/s00521-018-3592-0
5. Cao F (2020) PID controller optimized by genetic algorithm for direct-drive servo system. Neural Comput Appl 32:23–30. https://doi.org/10.1007/s00521-018-3739-z
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