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Multimodal optimization is one of the most challenging issues in the field of optimization, which requires to detect and locate multiple global and local optima. Differential evolution (DE) is a well-known and powerful optimization algorithm with fast convergence capability. In this paper, we proposed a method to accurately solve high dimensional multimodal problems based on DE. Parallel sub-populations...
In most of the problems, finding global and local optima in multi-modal optimization problems are important. Standard Meta-heuristic algorithms are converging to an optimum, while the goal is finding all optima. (DE) is a well-known and powerful optimization. In this paper we proposed a novel method to consider solving the problems of multimodal in high dimensional by very good accuracy. Mechanism...
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