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An adaptive parallel ant colony optimisation (PACO) algorithm on massively parallel processors (MPPs) is presented. In the algorithm, we propose a strategy for information exchange between processors that makes each processor choose a partner to communicate with and update their pheromone adaptively. We also propose a method of adaptively adjusting the time interval for the exchange of information according to the diversity of the solutions, to increase the quality of the optimisation resultsdoi:10.1016/j.ins.2012.02.055 fatcat:ezf56zn7pbhcpe5jqpopvx2f5i