Abstract: The optimization of gear design is a challenging problem as the design variables are interrelated to each other. Various methods have been proposed for solving such problems. This paper aims in developing a methodology for acquiring the desired worm gear design configuration by altering the optimum set of worm gear design parameters which are suitable for the required performance by associating it with SVM (Support Vector Machine). An evolutionary technique like Genetic algorithm (GA) is also used along with it for optimizing the worm and worm wheel with multi objectives, the main object is to attain high wear capacity by considering module, power, velocity ratio, and speed as design parameters. Center distance and strength of worm gear are the constraints taken into consideration.