Design and realization of layered parallel multi-swarm cooperative PSO framework under grid environment
网格环境下分层并行多群体协作PSO框架设计与实现

Concerning how to utilize computational resources in large field to join the implementation of Particle Swarm Optimization(PSO), thereby the computational efficiency can be enhanced and the computational cost can be reduced, the Grid-based Layered Parallel Multi-swarm Cooperative PSO(G-LPMCPSO) Framework was presented in this paper, as well as a Parallel Multi-swarm Cooperative PSO(PMCPSO) algorithm adapted to grid environment of load imbalance and the heterogeneity of computational resources. And then, how to make use of standard Grid technologies and PMCPSO algorithm to design and realize G-LPMCPSO framework was discussed in detail. The framework has an extended GridRPC API to conceal the high complexity of the Grid environment, and a meta-scheduler for seamless resource discovery and selection. At last, the theoretical analysis and the result of experiment indicate that the proposed G-LPMCPSO using Grid can offer a credible framework for providing a significant speed-up to optimization in science and engineering.