Genetic Algorithms + Data Structures = Evolution Programs

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.

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

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 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 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