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- W4309226264 abstract "In this paper, a hybrid algorithm is proposed by combining the NSGA-II with MOPSO algorithm. The original NSGA-II is improved by adopting dynamical selection of crossover and mutation operators. The performance of the proposed hybrid algorithm is verified using standard test functions and it is applied to the multi-objective optimization benchmark problem TEAM 22. Numerical results demonstrate the effectiveness and superiority of the proposed hybrid algorithm." @default.
- W4309226264 created "2022-11-24" @default.
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- W4309226264 date "2022-10-24" @default.
- W4309226264 modified "2023-10-01" @default.
- W4309226264 title "A Hybrid Algorithm Based on NSGA-II and MOPSO for Multi-objective Designs of Electromagnetic Devices" @default.
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- W4309226264 doi "https://doi.org/10.1109/cefc55061.2022.9940652" @default.
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