Genetic Algorithm: Optimization Strategy and Applications in Design

Abstract

Genetic algorithm is a population-based heuristic search and optimization technique that mimics the process of natural evolution. The optimization strategy followed in the genetic algorithm technique along with its applications related to design in various areas is presented in this paper. The study concluded that Genetic algorithm technique can be used quite effectively to solve a variety of optimization problems in different domains that are not handled easily using other conventional optimization methods. Moreover, it works on population rather than single points and GA operators help to create new population in very next iteration which is better than its parent population, thus the offsprings will guarantee better population and solution will converge in much less time in comparison to conventional techniques.