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DECMO2: a robust hybrid and adaptive multi-objective evolutionary algorithm.

, , , , and . Soft Comput., 19 (12): 3551-3569 (2015)

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On Modeling the Dynamic Thermal Behavior of Electrical Machines Using Genetic Programming and Artificial Neural Networks., , , and . EUROCAST (1), volume 12013 of Lecture Notes in Computer Science, page 319-326. Springer, (2019)Optimising Linear Regression for Modelling the Dynamic Thermal Behaviour of Electrical Machines using NSGA-II, NSGA-III and MOEA/D., , , , and . SYNASC, page 186-193. IEEE, (2023)Analytical Modeling and Optimization for Electromagnetic Performances of Fractional-Slot PM Brushless Machines., , and . IEEE Trans. Ind. Electron., 65 (5): 4017-4027 (2018)PMSM for high demands on low torque ripple using optimized stator phase currents controlled by an iterative learning control algorithm., , and . IECON, page 8488-8493. IEEE, (2013)A Surrogate-Based Strategy for Multi-objective Tolerance Analysis in Electrical Machine Design., , , , and . SYNASC, page 195-203. IEEE Computer Society, (2015)Identification of a nonlinear PMSM model using symbolic regression and its application to current optimization scenarios., , , and . IECON, page 628-633. IEEE, (2014)An Effective Ensemble-Based Method for Creating On-the-Fly Surrogate Fitness Functions for Multi-objective Evolutionary Algorithms., , , , and . SYNASC, page 235-242. IEEE Computer Society, (2013)Multi-objective Topology Optimization of Electrical Machine Designs Using Evolutionary Algorithms with Discrete and Real Encodings., , , and . EUROCAST (1), volume 10671 of Lecture Notes in Computer Science, page 331-338. Springer, (2017)DECMO2: a robust hybrid and adaptive multi-objective evolutionary algorithm., , , , and . Soft Comput., 19 (12): 3551-3569 (2015)Coupled optimization in MagOpt., , , , , , , , and . J. Syst. Control. Eng., 230 (4): 291-299 (2016)