ABSTRACT

Optimization is a technique through which better results are obtained under certain circumstances. In the present study, four different problems, namely, volume minimization of a closed coil helical spring, weight minimization of a hollow shaft, weight minimization of a belt-pulley drive, and weight minimization of a composite leaf spring have been investigated. Several traditional methods have been used, in the past, to solve such problems. But, the traditional techniques have some drawbacks. For example, there is a chance for the solutions to get trapped into local minimum. Again, the algorithm developed for one type of problem, may not be found suitable to solve another type of problem. Thus, there is steel a need for a versatile algorithm to solve different optimization problems. In this study, a non-traditional optimization technique, namely, Genetic Algorithm (GA) is used to solve different optimization problems. The above-mentioned problems are solved by the GA and comparable results are obtained.

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