{'fraction_non_alphanumeric': 0.012838801711840228, 'fraction_numerical': 0.0, 'mean_word_length': 5.157894736842105, '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 optimization of sparse conformal array based on modified particle swarm optimization

In order to optimize the radiation characteristics of conformal array in which elements' active amplitudes are equal, the HPSO and MOHPSO are introduced in this paper. Thoughts of intersection and variation are introduced into BPSO and MOHPSO is constructed upon HPSO. The HPSO algorithm is used to optimize the single-objective problems including optimization of gain in one scanning direction for conformal array. The MOHPSO is design to solve the multi-objective problems. A spherical conformal array is used to test the algorithms and results show that both the algorithms are stable to obtain the optimums.