APPLICATION OF GENETIC ALGORITHM TO OPTIMIZE WORM GEAR DESIGN FOR MINIMUM CENTRE DISTANCE

Authors

  • Hiren V. Patel -
  • Maniya K. D -

Keywords:

Worm Gear Optimization, Genetic Algorithm

Abstract

A gear transmission problem is one of the most complex optimization problems because of relationship between different
variables. A gear design require the designer to compromise many design variables; i.e. continuous, discrete & integer variables in order to
determine best performance of gear set. Numbers of conventional methods are available for solving different types of optimization
problems. But due to their complexity and convergence problem these methods are not able to give optimal solution. Therefore
researchers are now going to use evolutionary techniques. Genetic Algorithm is one of such technique. A non-conventional algorithm
namely Genetic Algorithm is presented for optimization of worm gear mechanism with respect to specified set of constraints. The Genetic
Algorithm is an efficient search method which is inspired from Darw in’s concept of selection process to explore a given search space.

Published

2022-04-27

How to Cite

Hiren V. Patel, & Maniya K. D. (2022). APPLICATION OF GENETIC ALGORITHM TO OPTIMIZE WORM GEAR DESIGN FOR MINIMUM CENTRE DISTANCE. International Journal of Advance Engineering and Research Development (IJAERD), 2(13), -. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/5668