{'fraction_non_alphanumeric': 0.03347732181425486, 'fraction_numerical': 0.0, 'mean_word_length': 5.4825174825174825, '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 Electromagnetism-Like Meta-Heuristic for Multi-Objective Optimization

This paper presents an algorithm based on the electromagnetism-like mechanism (EM) to solve multi-objective optimization problems (MOP). EM is based on the electromagnetism theory in physics; it simulates attraction and repulsion of charged particles in order to move towards an optimal solution. A framework, so called multi-objective EM (MOEM), for generating the non-dominated front of MOP has been developed heuristically. Computational results show that the non-dominated solutions generated by the MOEM are closer to the Pareto front than those by another well-known multi-objective evolutionary algorithm, the strength Pareto evolutionary algorithm (SPEA). For the distribution and spread of non-dominated solutions, MOEM is also competitive with SPEA. Finally, a number of directions for extension and application of the algorithm is discussed.