Genetic Algorithms in Search, Optimization and Machine Learning Hardcover – 1 Jan 1989
- Choose from over 13,000 locations across the UK
- Prime members get unlimited deliveries at no additional cost
- Find your preferred location and add it to your address book
- Dispatch to this address when you check out
Frequently bought together
Customers who viewed this item also viewed
Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.
To get the free app, enter your mobile phone number.
Would you like to tell us about a lower price?
If you are a seller for this product, would you like to suggest updates through seller support?
From the Back Cover
This book brings together - in an informal and tutorial fashion - the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
Major concepts are illustrated with running examples, and major algorithms are illustrated by Pascal computer programs. No prior knowledge of GAs or genetics is assumed, and only a minimum of computer programming and mathematics background is required.
What other items do customers buy after viewing this item?
Top customer reviews
Goldberg did not invent genetic algorithms (that honor goes to either Nature or John Holland, depending on your personal belief system), but he did make sure that they could be understood by any interested programmer. The source code is in Pascal, which may not be to everyone's taste, but is certainly readable by anyone with a programming background.
- Larry O'Brien (Editor, AI Expert Magazine 1990-1994)
Initially the most basic concepts are spelled out, and even derived in the early chapters, the later chapters stray from this, and some of the important results differ from the suggested derivation.
Admittedly no single website would provide as much information as clearly, and this book is a usefull start for those new to the field. But it should be read with critical attention to the details, and without any compunction about closing the book and getting on with the task in hand.
* You are new to the subject
* You want to get the point fast
* Like to be taken along by the hand, with well explained examples
* Hate boring 101% theoretical resources
Then, GET THIS BOOK!
So far the most enjoyable book on Computer Science I have ever read.
Would you like to see more reviews about this item?
Look for similar items by category
- Books > Computing & Internet > Computer Science > Artificial Intelligence
- Books > Computing & Internet > Digital Lifestyle > Online Shopping > Amazon
- Books > Computing & Internet > Programming > Algorithms
- Books > Computing & Internet > Software & Graphics
- Books > Science & Nature > Mathematics > Algebra
- Books > Science & Nature > Mathematics > Combinatorics & Graph Theory
- Books > Science & Nature > Mathematics > Discrete Mathematics
- Books > Science & Nature > Mathematics > Education > Higher Education
- Books > Science & Nature > Mathematics > Optimisation
- Books > Scientific, Technical & Medical > Mathematics > Applied Mathematics
- Books > Scientific, Technical & Medical > Mathematics > Combinatorics & Graph Theory