In this paper, the whale optimization algorithm (WOA) is applied to the inverse scattering of an imperfect conductor with corners. The WOA is a new metaheuristic optimization algorithm. It mimics the hunting behavior of humpback whales. The inspiration results from the fact that a whale recognizes the location of a prey (i.e., optimal solution) by swimming around the prey within a shrinking circle and along a spiral-shaped path simultaneously. Initially, the inverse scattering is first transformed into a nonlinear optimization problem. The transformation is based on the moment method solution for scattering integral equations. To treat a target with corners and implement the WOA inverse scattering, the cubic spline interpolation is utilized for modelling the target shape function. Numerical simulation shows that the inverse scattering by WOA not only is accurate but also converges fast.

中文翻译：

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鲸鱼优化算法在具有角的不完美导体的逆散射中的应用

本文将鲸鱼优化算法（WOA）应用于具有角的不完美导体的逆散射。WOA是一种新的元启发式优化算法。它模仿座头鲸的狩猎行为。灵感来自这样一个事实：鲸鱼通过在收缩的圆圈内同时沿着螺旋形路径游动猎物来识别猎物的位置（即最佳解决方案）。最初，首先将反散射转换为非线性优化问题。该变换基于散射积分方程的矩量法解。为了处理带有拐角的目标并实现WOA逆散射，三次样条插值用于对目标形状函数进行建模。