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| Improved genetic algorithm for topology optimization of truss structures |
| Received:June 20, 2006 Revised:October 08, 2007 |
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| DOI：10.7511/jslx20081017 |
| KeyWord:genetic algorithm,mixed coding,surrogate reproduction,restart operator,topology check |
| TANG Wen-yan YUAN Qing-ke |
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| Abstract: |
| This paper presents an improved genetic algorithm(GA) to minimize weight of truss with discrete sizing,continuous shape and 0-1 topology variables. Because of the nature of discrete and continuous variables,mixed coding schemes are proposed,including binary and float coding,integer and float coding.Surrogate reproduction is developed to select good individuals to mating pool on the basis of constraint and fitness values,which completely considers the character of constrained optimization.Because the initial population is created randomly and three operators of GA are also indeterminable,it is necessary to check whether the structural topology is desirable.An improved restart operator is proposed to introduce new gene and explore new space,so that the reliability of GA is enhanced.Standard examples are solved,numerical solutions are better than those in the literature.It is demonstrated that the improved GA scheme is feasible and effective. |
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