{'fraction_non_alphanumeric': 0.01593625498007968, 'fraction_numerical': 0.0026560424966799467, 'mean_word_length': 5.556521739130435, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Microwave imaging of three-dimensional dielectric objects employing evolution strategies

This paper investigates the performance of an evolutionary algorithm in the reconstruction of the shape and location of an arbitrary three-dimensional (3-D) dielectric object immersed in air. An evolution strategy optimization technique is combined with the method of moments to estimate, in terms of a multidimensional optimization problem, the unknown parameters that determine the shape and the location of the object. The reconstruction is performed through the minimization of an error function between the synthetic measurements and simulated scattered data. The results show a potential of the algorithm in estimating the shape and location of 3-D objects.