Publisher's Synopsis
Genetic algorithms deals with one of the branches of the case study called Evolutionary Computation. In that they mimic the biological process of reproduction and natural selection to solve for the 'fittest' solutions. Genetic algorithms are commonly used to generate superlative solutions to optimize and search problems by relying on biologically inspired operators such as Initialization, crossover, mutation and selection. The main objective of this book is to discuss in detail about Genetic Algorithm (GA) and the classifications of genetic operators with examples which will be nifty for the readers to understand the concept more precisely and concurrently. I will be grateful to all who are offering valuable suggestions and comments. My sincere thanks to the publisher for their support in bringing up this book for publication.
