Title :
Optimum design of steel box-concrete composite arch bridges based on improved genetic algorithms
Author_Institution :
Res. Instn., XinJiang Sci. Res. Inst. of Commun., Urumqi, China
Abstract :
In view of shortcomings such as premature convergence and oscillation in Simple Genetic Algorithms (SGA), the article adopts method of adaptive adjusting for the probabilities of crossover and mutation. So the Improved Genetic Algorithms (IGA) is formed by adding the transgenic operator to SGA. And the optimum design program of steel box-concrete composite arch bridges based on improved genetic algorithms is simultaneously developed. The structure optimum of steel box-concrete composite arch bridges is conducted by using IGA. The numerical experiment shows that the optimization result satisfies the structure design code, and the project cost is obviously reduced.
Keywords :
bridges (structures); design engineering; genetic algorithms; steel; structural engineering; genetic algorithm; optimum design; steel box-concrete composite arch bridge; structure design code; transgenic operator; Bridges; Concrete; Convergence; Gallium; Genetic algorithms; Optimization; Steel; Penalty function; composite arch bridges; genetic algorithm; optimization and design; steel box-concrete;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location :
XianNing
Print_ISBN :
978-1-61284-458-9
DOI :
10.1109/CECNET.2011.5769198