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Co-evolutionary design of discrete structures based on the ant colony optimization
引用本文:Tao Zhenwu and Xiao Renbin. Co-evolutionary design of discrete structures based on the ant colony optimization[J]. 自然科学进展(英文版), 2007, 17(9): 1082-1094
作者姓名:Tao Zhenwu and Xiao Renbin
作者单位:CAD Center,Huazhong University of Science and Technology,Wuhan 430074,China
摘    要:In order to optimize the sizing and topology of discrete structures together and resist the combinatorial explosion of the solution space,a co-evolutionary design(CED)method based on ant colony optimization(ACO)for discrete structures is proposed.The tailored ant colony optimization for the sizing of structures(TACO-SS)and the tailored ant colony optimization for the topology of structures(TACO-TS)are implemented respectively.Theoretical analysis shows that the computation complexity of each sub-process in CED based on ACO above is polynomial and it guarantees the efficiency of this method.After the parameter settings in TACO-SS and TACO-TS are discussed,the convergence history of a sub-process is studied through an instance in detail.Finally,according to the design examples of the 10-bar and 15-bar trusses under different cases,the effectiveness of the CED based on ACO is validated and the effects of the loads and the deflection constraints on the co-evolutionary design are discussed.


Co-evolutionary design of discrete structures based on the ant colony optimization
Tao Zhenwu and Xiao Renbin. Co-evolutionary design of discrete structures based on the ant colony optimization[J]. Progress in Natural Science, 2007, 17(9): 1082-1094
Authors:Tao Zhenwu and Xiao Renbin
Affiliation:CAD Center, Huazhong University of Science and Technology, Wuhan 430074, China
Abstract:In order to optimize the sizing and topology of discrete structures together and resist the combinatorial explosion of the solution space,a co-evolutionary design(CED)method based on ant colony optimization(ACO)for discrete structures is proposed.The tailored ant colony optimization for the sizing of structures(TACO-SS)and the tailored ant colony optimization for the topology of structures(TACO-TS)are implemented respectively.Theoretical analysis shows that the computation complexity of each sub-process in CED based on ACO above is polynomial and it guarantees the efficiency of this method.After the parameter settings in TACO-SS and TACO-TS are discussed,the convergence history of a sub-process is studied through an instance in detail.Finally,according to the design examples of the 10-bar and 15-bar trusses under different cases,the effectiveness of the CED based on ACO is validated and the effects of the loads and the deflection constraints on the co-evolutionary design are discussed.
Keywords:evolutionary design  ant colony optimization  sizing optimization  topology optimization.
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