{'fraction_non_alphanumeric': 0.022988505747126436, 'fraction_numerical': 0.0, 'mean_word_length': 5.394495412844036, '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}}
A mixed robust optimization and multi-agent coordination method for elevator group control scheduling

An elevator group control scheduling (EGCS) method, which is combined with robust optimization (RO) and multi-agents, is proposed to deal with the uncertainty with the elevator traffic flow and the computation complexity. Considering the uncertainty of elevator traffic flow, the elevator schedule model based on RO is developed. An integrated method combined with multi-agent coordination (MAC) and RO schedule is designed to compensate for the disadvantage of RO for the EGCS problem. Simulation results show that the proposed method can improve the performance and adaptability of the EGCS.