Optimization of Helical Gear Design Using Genetic Algorithm

This paper present the design strategy for optimization of helical gear set. Genetic algorithms are being widely used for optimization, search and neural network synthesis. A lot of work has been conducted using genetic algorithm for different engineering problems related to scheduling and process planning in industrial engineering, network optimization in computer engineering. The work dissertation deals with the optimization of helical gear sets using genetic algorithm. Attention is focused on reducing the volume of gear set subjected to constraints on bending stress, contact stress and involute interference. The optimum gear design using genetic algorithm calculates the volume. In other words, a more compact design is found.