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机译:基于遗传算法的非凸磁芯超导同步电机的最优电磁设计
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran;
finite element analysis; genetic algorithms; inductance; magnetic cores; superconducting machines; synchronous machines; SSM machine; analytical equations; finite-element method; genetic algorithm; machine efficiency; magnetic energy method; magnetic vector potential; mutual inductance; nonsalient magnetic-cored superconducting synchronous machine; optimal electromagnetic design; self-inductance; Iron; Magnetic flux; Mathematical model; Stator windings; Superconducting magnets; Windings; Finite-element method (FEM); Genetic Algorithm and Finite Element Method; Mutual Inductance; Non-salient Magnetic-cored; Self-Inductance; Superconducting Synchronous Machine (SSM); genetic algorithm (GA); mutual inductance; nonsalient magnetic-cored; self-inductance; superconducting synchronous machine (SSM);
机译:利用改进的小生境遗传算法对车辆内永磁同步电机进行优化设计
机译:基于改进的小生境遗传算法的车辆内永磁同步电机的优化设计
机译:遗传算法优化设计的同步发电机模糊励磁控制器
机译:混合遗传算法在室内永磁同步电机优化设计中的应用
机译:一种新型高温超导同步电机的设计与分析。
机译:使用机器学习算法将二进制蛋白质序列分类为高度可设计或可不良设计
机译:基于高效遗传算法的内部永磁同步机使用Kriging模型的最佳转子结构