Autoencoder evolutionary algorithm for large-scale multi-objective optimization problem
Author:
Funder
National Natural Science Foundation of China
Provincial Key Laboratory Performance
National Key Research and Development Program of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13042-024-02221-4.pdf
Reference32 articles.
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2. Zhang Q, Li H (2007) Moea/d: A multiobjective evolutionary algorithm based on decomposition. IEEE Trans Evol Comput 11(6):712–731. https://doi.org/10.1109/TEVC.2007.892759
3. Deb K, Jain H (2014) An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part i: Solving problems with box constraints. IEEE Trans Evol Comput 18(4):577–601. https://doi.org/10.1109/TEVC.2013.2281535
4. Potter MA, De Jong KA (1994) A cooperative coevolutionary approach to function optimization. In: Davidor, Y., Schwefel, H.-P., Männer, R. (eds.) Parallel Problem Solving from Nature — PPSN III, pp. 249–257. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58484-6_269
5. Omidvar MN, Li X, Yang Z, Yao X (2010) Cooperative co-evolution for large scale optimization through more frequent random grouping. IEEE Congress on Evolutionary Computation, 1–8 https://doi.org/10.1109/CEC.2010.5586127
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