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Solution of an Inverse Scattering Problem Using Optimization with a Variable Number of Dimensions

机译:使用具有可变数量的优化的逆散射问题的解决方案

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The inverse scattering problem applies in many areas of engineering such as biomedicine, civil engineering, electromagnetic compatibility or geophysics. In this paper, one-dimensional inverse scattering problem is formulated as an optimization task with variable number of dimensions. Goal is to reconstruct material properties of a layered medium from its reflection coefficient. Then, this problem is solved using PSO-VND algorithm. Its solution is compared with solutions by conventional approaches: PSO, GA and DE optimizers. Results show that VND formulation significantly reduces computational time.
机译:逆散射问题适用于生物医学,土木工程,电磁兼容性或地球物理学等许多工程领域。在本文中,配制一维逆散射问题作为具有变量尺寸的优化任务。目标是从反射系数重建分层介质的材料特性。然后,使用PSO-VND算法来解决这个问题。将其解决方案与常规方法进行比较:PSO,GA和DE优化器。结果表明,VND配方明显减少了计算时间。

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