New Tabu Search Algorithm to Design an Electric Motor
New Tabu Search Algorithm to Design an Electric Motor
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DOI：
10.1109/tmag.2009.2012689
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发表时间：
2009-02
影响因子：
2.1
通讯作者：
L. Idoumghar;T. Raminosoa;A. Miraoui
中科院分区：
文献类型：
--
作者：
L. Idoumghar;T. Raminosoa;A. Miraoui
本文提出了一种新的禁忌搜索算法，用于设计具有最佳转矩密度的电动机，同时考虑一些技术约束。禁忌搜索是一种元启发式方法，用于寻找开关磁阻电机设计等难组合优化问题的近似解。结果表明，与遗传算法和混合算法相比，该算法能快速得到最优解。
This paper presents a new Tabu search algorithm used to design an electric motor with the best torque density while respecting some technological constraints. Tabu Search is a metaheuristic method designed for finding approximate solution of hard combinatorial optimization problems like the design of a switched reluctance motor. A comparison of the results obtained by our algorithm shows that the best solution is obtained quickly in comparison with other approach like genetic algorithm and hybrid algorithm.