{'fraction_non_alphanumeric': 0.012448132780082987, 'fraction_numerical': 0.0, 'mean_word_length': 5.355263157894737, '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}}
An improved adaptive genetic algorithm

In this paper, we proposed a new adaptive genetic algorithm based hybrid coding and elitist strategy. The high fitness individuals was used to perform decimal coding to improve the search rate based on original adaptive genetic algorithm, as well as the criteria of poor individuals about elitist strategy, rather than random replacement or replacing the worst individual. Experimental results show that this method is effective and reliable.