| Co-evolutionary design of discrete structures based on the ant colony optimization |
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| 作者姓名： | Tao Zhenwu and Xiao Renbin |
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| 作者单位： | CAD Center，Huazhong University of Science and Technology，Wuhan 430074，China |
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| 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.
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Co-evolutionary design of discrete structures based on the ant colony optimization |
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| 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. |
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| Authors: | Tao Zhenwu and Xiao Renbin |
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| Institution: | CAD Center, Huazhong University of Science and Technology, Wuhan 430074, China |
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| 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. |
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| Keywords: | evolutionary design ant colony optimization sizing optimization topology optimization |
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