Analysis of Traditional Heuristic Methods and Genetic Algorithm

The goal of this study of traditional heuristic methods and genetic algorithm is to determine strength of Genetic Algorithm over all traditional heuristic methods. It gives a clear idea of how genetic algorithm works. It gives the idea of various sub methods used in genetic algorithm to improve the results and outcome. Basically genetic algorithm and all traditional heuristic methods are used for optimization. Optimization problems are class NP complete problems. Genetic algorithm can be viewed as an optimization technique which exploits random search within a defined search space to solve a problem by some intelligence ideas of nature.