The Practical Handbook of Genetic Algorithms : New Frontiers, Volume II

Presenting the topic from a an applications point of view, this text takes readers from the construction of a simple GA to advanced implementations. As readers come to understand GAs and their processes, they will begin to understand the power of the genetic-based problem-solving paradigms that lie behind them. Problems that for many have been cons

The mathematics employed by genetic algorithms (GAs)are among the most exciting discoveries of the last few decades. But what exactly is a genetic algorithm? A genetic algorithm is a problem-solving method that uses genetics as its model of problem solving. It applies the rules of reproduction, gene crossover, and mutation to pseudo-organisms so those "organisms" can pass beneficial and survival-enhancing traits to new generations. GAs are useful in the selection of parameters to optimize a system''s performance. A second potential use lies in testing and fitting quantitative models. Unlike any other book available, this interesting new text/reference takes you from the construction of a simple GA to advanced implementations. As you come to understand GAs and their processes, you will begin to understand the power of the genetic-based problem-solving paradigms that lie behind them.