期刊文献+

基于禁忌搜索算法的电磁场逆问题鲁棒优化设计

Tabu search based robust design optimization for inverse problems in electromagnetics
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摘要 为了综合分析优化解的性能,讨论了参数不确定条件下电磁场逆问题的鲁棒优化性。分析了鲁棒优化设计方法,研究了鲁棒期望适值函数关键参数的估计方法。以寻求鲁棒最优解为目标,应用改进的禁忌算法,基于鲁棒性能期望适值函数,求解了典型数学问题和工程设计问题。通过计算比较叠加扰动最优解条件下的目标函数值偏差,其结果表明,该研究算法能够快速有效地搜索到鲁棒最优解。 In order to present a comprehensive analysis of the performance of the optimal,the robust performance of optimal solutions was examined under the circumstance of uncertainties,which are always incurred in practical inverse problems in electromagnetics.Some robust design optimization methods were discussed and analyzed,especially the estimation of the key parameter in evaluating the robust performance.With the goal of finding the robust optimal solution,the improved tabu search algorithm was applied to a typical numerical problem and an engineering design problem.By computing and comparing the deviation of object function values in condition of a perturbation to the optimal solution,the results show that the robust performance parameter of the robust optimal solution is much stronger than that of the global optimal one.
出处 《机电工程》 CAS 2012年第5期559-562,599,共5页 Journal of Mechanical & Electrical Engineering
基金 国家自然科学基金资助项目(50777054 51077114)
关键词 鲁棒优化设计 期望适值函数 禁忌算法 电磁场逆问题 robust optimized design expected fitness function tabu search algorithm inverse problems
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参考文献8

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