Evolutionary Engineering Optimization Using Recursive Regional Neural Network and Genetic Algorithm

Abstract

This study presents a soft computing based evolutionary optimization for engineering applications with the constraint of sample size. Existing field data or experimental designs are often applied as training samples to establish a simulated network model for the engineering system following by an optimum search. However, possible biased distribution of… (More)

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