Weight and deflection optimization of Cantilever Beam using a modified Non-Dominated sorting Genetic Algorithm
Sasidhar Gurugubelli · IOSR Journal of Engineering · 2014
Many problems having single or multiple objectives are routinely solved using GA methodologies.This paper is devoted to the simultaneous weight and deflection optimization of cantilever beam by using a modified Non-Dominated sorting Genetic Algorithm, subjected to maximum stress and maximum deflection constraints.The multi-objective optimization algorithm used in this paper has better sorting, incorporates elitism and no sharing parameter needs to be chosen a priori.