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- W2374464239 abstract "In order to overcome the defects of local optimum which are generated by the individual diversity in the evolutionary process,a new DNAPSO algorithm based on DNA structure and the evolution process of particle swarm optimization was proposed. The DNAPSO algorithm used the evolutionary principle of the individual's gradually flying to the optimal solution in the PSO. The new algorithm retained the advantages of DNA algorithm,multipoint mutation operator which can mutate to the particular direction was designed. Therefore,the proposed algorithm both had the feature of individual diversity and the ability of fast convergence to the optimal solution. And then,results of four typical functions in the continuous space optimization show that the DNAPSO algorithm has better stability and convergence compared with DNA algorithm and standard PSO algorithm,and a new way is found to solve the continuous space optimization." @default.
- W2374464239 created "2016-06-24" @default.
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- W2374464239 date "2015-01-01" @default.
- W2374464239 modified "2023-09-25" @default.
- W2374464239 title "Application of DNAPSO Algorithm for Continuous Space Optimization" @default.
- W2374464239 hasPublicationYear "2015" @default.
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