Genetic Algorithms and Evolutionary Computing

Abstract

A genetic algorithm is a technique for optimization; that is, it can be used to find the minimum or maximum of some arbitrary function. While there are a lar ge number of mathematical techniques for accomplishing this, both in general and for specific circumstances, a genetic algorithm is unique. It is a stochastic method, and it will find a global minimum, neither property being singular . The approach is remarkable because it is based on the way that a population of living or ganisms grows and evolves, fitting into their ecological niche better with each generation.