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A new optimization based on parallelizing hybrid PSOGSA algorithm

Chia sẻ: Lin Yanjun | Ngày: | Loại File: PDF | Số trang:11

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This study suggests a new metaheuristic algorithm for global optimization, based on parallel hybridizing the swarm optimization (PSO) and Gravitational search algorithm (GSA). Subgroups of the population are formed by dividing the swarm’s community. Communication between the subsets can be developed by adding strategies for the mutation. Twenty-three benchmark functions are used to test its performance to verify the feasibility of the proposed algorithm.

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Nội dung Text: A new optimization based on parallelizing hybrid PSOGSA algorithm

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