An improved strategy for gas in structural optimization

An improved strategy for genetic algorithms in structural optimization is presented in this paper. In the improved genetic algorithms, the terms of the feasible, infeasible individual strings, and the related space for the individual strings are given. In initializing the population and generating the individual strings of the next generations, the feasible individual strings are only chosen. The approach to structural approximation analysis by artificial neural networks is also adopted, in order to reduce the expensive computation arising from the constraints evaluations. The effectiveness of the improved strategy for genetic algorithms is shown by the numerical examples of the optimum weights of five- and 10-bar structures. Copyright (C) 1996 Elsevier Science