Genetic Algorithms: The Design of Innovation

by David Edward Goldberg, Kumara Sastry

This book illustrates how to design and implement scalable genetic algorithms that solve hard problems quickly, reliably, and accurately. This revised edition includes recent results and new groundbreaking material. The book combines two decades of hard-won research results in a single volume to provide a step-by-step guide to designing genetic algorithms that scale well with problem size and difficulty. A major new chapter demonstrates practical scalability of GAs on a problem with over a billion variables, and shows how these results can be used to obtain routine solutions to important problems. This book is an essential reference.

336 pages, Hardcover

First published June 30, 2002

Reviews

[Miray]

a deep, wide-ranging and readable discussion on evolutionary learning.