{'fraction_non_alphanumeric': 0.016835016835016835, 'fraction_numerical': 0.0016835016835016834, 'mean_word_length': 5.329787234042553, '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}}
Memristive Network-based Artificial Fish Swarm Algorithm

This paper explores the relation between Artificial Fish Swarm Algorithm and memristive network. There are some relations between swarm intelligence and memristive network. Inspired by the correlation between colony optimization and memristive network, mapping rules between AFSA's 4 main behaviors and memristive network has highlighted in this paper. In this paper the motion of single fish is first simulated, then the motion of more fish is simulated. Finally, we make comparison of the trend of motion fish swarm and concept model.