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AS-PSO-2Opt is a new enhancement of the AS-PSO method. In the classical AS-PSO, the Ant heuristic is used to optimize the tour length of a Traveling Salesman Problem, TSP, and PSO is applied to optimize three parameters of ACO, (α, β, ρ). The AS-PSO-2Opt consider a post processing resuming path redundancy, helping to improve local solutions and to decrease the probability of falling in local minimum...
Recently, the Graphic Processing Unit (GPUs) are used as an exciting new hardware environment for truly parallel implementation and execution of nature and Bio-inspired algorithms thanks to their excellent price-to-power ratio. Indeed, they are represented by the software platform using compute unified device architecture from NVIDIA, and the one of particle swarm optimization (PSO) which can be executed...
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