{'fraction_non_alphanumeric': 0.02181818181818182, 'fraction_numerical': 0.0, 'mean_word_length': 5.8875, '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}}
New approaches to evaporation in ant colony optimization algorithms

Abstract In Ant Colony Algorithms (ACA), artificial ants construct a solution by building a path on a construction graph. The ants behavior is specified by defining start states, construction rules, transition rules, pheromone update rules and evaporation mechanisms. In this paper we introduce new approaches, based on the generation function and geometrical, algebraic explanation of the convergence, for deriving the evaporation mechanisms in Ant Colony Optimization algorithms.