Comparison of genetic algorithms with conjugate gradient methods

摘要: Genetic algorithms for mathematical function optimization are modeled on search strategies employed in natural adaptation. Comparisons of genetic with conjugate gradient methods, which were made an IBM 1800 digital computer, show that display superior performance over methods functions poorly behaved mathematically, multimodal functions, and obscured by additive random noise. offer comparable to many the standard functions.