{'fraction_non_alphanumeric': 0.022569444444444444, 'fraction_numerical': 0.0, 'mean_word_length': 4.948453608247423, '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}}
The use of the genetic algorithm approach in the design of ultra-wideband antennas

The application of genetic algorithm (GA) optimization to the design of ultra-wideband antennas for use in multi-service wireless devices is described. The antennas explored in this study are monopoles with planar, fully-metal radiating elements. The key design constraints and criteria to be considered in the development of such antennas are discussed. Presented and discussed are results from an application of a GA optimizer to the design of bow-tie and reverse bow-tie monopole antennas.