A new optimization based on parallelizing hybrid PSOGSA algorithm
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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.
Nội dung trích xuất từ tài liệu:
A new optimization based on parallelizing hybrid PSOGSA algorithm
Nội dung trích xuất từ tài liệu:
A new optimization based on parallelizing hybrid PSOGSA algorithm
Tìm kiếm theo từ khóa liên quan:
Parallel PSOGSA algorithm Mutation strategy Particle swarm optimization Gravitational search algorithm Metaheuristic algorithms Simulated annealing algorithmGợi ý tài liệu liên quan:
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