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- W2364330666 abstract "In order to overcome the difficulties encountered by the coupling of two distinct types of design variables,the discrete section area and continuous node coordinates,in the shape optimization of truss structures with mixed variables,a novel intelligent optimization method,comprehensive learning particle swarm optimization(CLPSO) is introduced in this paper.The basic principle of CLPSO algorithm is presented in detail first,and then mathematical model for shape optimization of truss structures is presented,in which two distinct types of design variables,the discrete section area and continuous node coordinates,are considered simultaneously.Several classical problems were solved for shape optimization with mixed variables,and the results are compared with those using the other optimization methods.The effectiveness of the proposed method is evaluated through the numerical analysis." @default.
- W2364330666 created "2016-06-24" @default.
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- W2364330666 date "2012-01-01" @default.
- W2364330666 modified "2023-09-25" @default.
- W2364330666 title "A CLPSO algorithm for truss structure shape optimization with mixed variables" @default.
- W2364330666 hasPublicationYear "2012" @default.
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