Weight and deflection optimization of Cantilever Beam using a modified Non-Dominated sorting Genetic Algorithm

  • Gurugubelli S
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Abstract

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.

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APA

Gurugubelli, S. (2014). Weight and deflection optimization of Cantilever Beam using a modified Non-Dominated sorting Genetic Algorithm. IOSR Journal of Engineering, 4(3), 19–23. https://doi.org/10.9790/3021-04321923

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