With the rapid development of materials science and medical imaging technology, traditional optimization algorithms cannot solve the problem of inverse scattering of complex scatterers well. Therefore, more and more imaging algorithms for solving complex scatterers were proposed. In this paper, a novel hybrid algorithm is put forward for the microwave imaging problem. First, the proposed algorithm improves the search path of the traditional sine cosine algorithm, which obtains better global search capability. Second, the least square is introduced to form judging and contrasting mechanisms, which forms the parallel algorithm simultaneously, in order to make the proposed algorithm more suitable for the diverse microwave imaging problem. To prove the efficiency of the proposed algorithm, several examples, including ten benchmark functions, two engineering design problems, and three different microwave imaging problem tests are adopted. As expected, the results show that the proposed algorithm achieves not only superior optimal value but also the reconstruction of the complicated permittivity of the scatterer compared with several traditional optimization algorithms.

中文翻译：

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基于改进的正弦余弦算法和最小二乘的混合算法及其在微波成像中的应用

随着材料科学和医学成像技术的飞速发展，传统的优化算法无法很好地解决复杂散射体的逆散射问题。因此，提出了越来越多的求解复杂散射体的成像算法。本文针对微波成像问题提出了一种新的混合算法。首先，提出的算法改进了传统正弦余弦算法的搜索路径，从而获得了更好的全局搜索能力。其次，引入最小二乘以形成判断和对比机制，同时形成并行算法，以使所提出的算法更适合于多样化的微波成像问题。为了证明该算法的有效性，列举了几个示例，其中包括十个基准函数，采用了两个工程设计问题，以及三个不同的微波成像问题测试。如预期的那样，结果表明，与几种传统的优化算法相比，该算法不仅获得了较高的最优值，而且还实现了散射体复杂介电常数的重建。