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- W2015762768 abstract "On account of the premature and stagnation of traditional ant colony algorithm, this paper proposes a cooperative multi-ant colony pseudo-parallel optimization algorithm, drawing lessons from the idea of the exclusion model and fitness sharing model of genetic algorithm. The algorithm makes multiple sub-ant colonies run different instance models of ant algorithm independently and concurrently, and realizes the historical experience synthesis of each sub-colony through the interaction of the pheromone, to ensure the guidance and diversity of pheromone distribution. Through the cooperation of the ants in each sub-colony and between sub-colonies, the algorithm achieves the collaborative optimization of ant colony at two levels, thus it improves the ability of optimization and the stability. Algorithm performance test shows that, the algorithm has a better ability of global optimization than the traditional ant colony algorithm." @default.
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- W2015762768 date "2010-06-01" @default.
- W2015762768 modified "2023-09-26" @default.
- W2015762768 title "Cooperative multi-ant colony pseudo-parallel optimization algorithm" @default.
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- W2015762768 doi "https://doi.org/10.1109/icinfa.2010.5512118" @default.
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