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As one widely applied swarm intelligent algorithm, particle swarm optimization (PSO) algorithm has obtained the attention of various scholars with its advantages of easy implementation, high precision and fast convergence. Firstly, aiming to solve the problems that PSO has low searching speed and PSO is easy to fall into local optimal solution especially when dealing with high-dimension model, this...
Cooperative Co-evolutionary Genetic Algorithm (C-CGA) is an effective way to solve complex problems like high-dimensional and multi-Objective problem, but there are also performance issue of high time complexity in the application of the algorithm. For the issue of collaborator selection is a key element of the success of applying the algorithm, the paper proposes a new method to select collaborators...
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