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- W2369669218 abstract "On the basis of analyzing synthetically the advantage and disadvantage of traditional optimization methods,an effective particle swarm optimization algorithm combining choas method with simplex method(CSM-PSO) was proposed for improving convergence speed and globally convergence ability.The new method can take advantage of the avorable conditions and avoid the unfavorable ones,the basic idea is to achieve optimization through cooperativeness of the different sub-groups among the groups.Experiment results of the benchmark functions and the material balance computation(MBC) in alumina production show that CSM-PSO abstains the disadvantages of original methods,it enhances the local searching efficiency and global searching performance effectually,and has faster convergence speed and higher globally convergence ability than those of single methods with better stability and steady convergence.The results demonstrate that CSM-PSO is a more feasible and efficient method in MBC." @default.
- W2369669218 created "2016-06-24" @default.
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- W2369669218 date "2009-01-01" @default.
- W2369669218 modified "2023-09-23" @default.
- W2369669218 title "Novel Hybrid Optimization Algorithm for Material Balance Computation in Alumina Production" @default.
- W2369669218 hasPublicationYear "2009" @default.
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