Genetic Algorithms + Data Structures = Evolution Programs (Artificial Intelligence)

By Zbigniew Michalewicz

Book Overview

Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence evolution programming techniques, based on genetic algorithms, are applicable to many hard... This description may be from another edition of this product.

• Format: Hardcover
• Language: English
• ISBN: 3540580905
• ISBN13: 9783540580904
• Release Date: December 1994
• Publisher: Springer
• Length: 340 Pages
• Weight: 1.55 lbs.
• Dimensions: 0.9" x 6.3" x 9.5"

Customer Reviews

Lot of ideas for Genetic and Evolutionary Algorithm

This book is not written to be the primary text book for a Genetic Algotithm, Data Structure or a Neural Algorithm course. However this book gives an excellent introduction to modern approaches to Evolutionary Algorithm, and how/whether GAs and EAa can be applied successfully to problems of Optimisation, Navigation, and also other contemporary and emerging fields. This book emphasizes on a lot of fresh ideas (which already requires background in GA, and Algorithms) and may be highly recommended for reference reading of Evolutionary Algorithms and allied Techniques.

could GA get possibly any eaiser to understand???

I saw this book once with one of my buddies,and read the first chapter,,,it was after looking up the first chapter i decided to buy it...I have read some other books on this topic,and since i was kinda in rush for a project which needed GA,i found no other book which explains the concepts and procedures, this straightforward and "right to the point".As far as writing this book goes, "Michalewicz" has done a really really great job.Go for it guys!!!cheers,Amir

One of the best book on genetic algorithms

A very good vision of the evolutionary optimisation techniques not only GA. As well there is an excellent chapter on constraints handling. Maybe it is not one of the easiest book on GA but it is definitely the most useful.

It offer a useful way for numerical optimization

It is not a textbook for genetic algorithm but is useful to those whose research domain is numerical optimization which is widely appeared in engineering area. It is the only book describing a float-number based GA whose importance has not been noticed by many researchers. I think it is a natural way for problem of engineering optimization.

it is one of the best books about genetic algorithms

It is as good for people who now start learning about genetic algorithms as for experience users.It includes many problems with its solution using genetic algorithm and many results