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An adaptive reanalysis method for genetic algorithm with application to fast truss optimization
Authors:Tao Xu Wenjie Zuo Tianshuang Xu Guangcai Song Ruichuan Li
Institution:[1]State Key Laboratory of Automotive Dynamic Simulation, Jilin University, 130025 Changchun, China [2]Department of Mechanics, Jilin University, 130025 Changchun, China
Abstract:Although the genetic algorithm(GA) for structural optimization is very robust,it is very computationally intensive and hence slower than optimality criteria and mathematical programming methods.To speed up the design process, the authors present an adaptive reanalysis method for GA and its applications in the optimal design of trusses.This reanalysis technique is primarily derived from the Kirsch's combined approximations method.An iteration scheme is adopted to adaptively determine the number of basis vect...
Keywords:Truss structure  Adaptive reanalysis  Genetic algorithm  Fast optimization  
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