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- W2573849483 abstract "This paper proposes a novel surrogate assisted multi-objective evolutionary algorithm based on decomposition (s-MOEA/D) for the design of electric motors. The idea is to improve the surrogate gradually during the optimization. Simulation results show that the proposed method can outperform a regular multi-objective optimization algorithm with only a small portion of the computational cost." @default.
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- W2573849483 date "2016-11-01" @default.
- W2573849483 modified "2023-09-22" @default.
- W2573849483 title "Surrogate-based MOEA/D for electric motor design with scarce function evaluations" @default.
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- W2573849483 doi "https://doi.org/10.1109/cefc.2016.7816151" @default.
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