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The Multiple Pheromone Ant Clustering Algorithm (MPACA) models the collective behaviour of ants to find clusters in data and to assign objects to the most appropriate class. It is an ant colony optimisation approach that uses pheromones to mark paths linking objects that are similar and potentially members of the same cluster or class. Its novelty is in the way it uses separate pheromones for each...
Evolutionary optimization algorithms and their hybrid forms have become popular for solving multimodal complex problems which are very difficult to solve by traditional methods in the recent years. In the literature, many hybrid algorithms are proposed in order to achieve a better performance than the well-known evolutionary optimization methods being used alone by combining their features for balancing...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.