Clever Algorithms - Nature-Inspired Programming Recipes

Clever Algorithms - Nature-Inspired Programming Recipes

This book describes 45 algorithms from the field of Artificial Intelligence. All algorithm descriptions are complete and consistent to ensure that they are accessible, usable and understandable by a wide audience.

Publication date: 31 Dec 2011

ISBN-10: n/a

ISBN-13: 9781446785065

Paperback: n/a

Views: 18,658

Type: N/A

Publisher: n/a

License: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Australia

Post time: 06 Feb 2011 05:49:43

Clever Algorithms - Nature-Inspired Programming Recipes

Clever Algorithms - Nature-Inspired Programming Recipes This book describes 45 algorithms from the field of Artificial Intelligence. All algorithm descriptions are complete and consistent to ensure that they are accessible, usable and understandable by a wide audience.
Tag(s): Artificial Intelligence
Publication date: 31 Dec 2011
ISBN-10: n/a
ISBN-13: 9781446785065
Paperback: n/a
Views: 18,658
Document Type: N/A
Publisher: n/a
License: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Australia
Post time: 06 Feb 2011 05:49:43
Summary/Excerpts of (and not a substitute for) the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Australia:
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Excerpts from the Introduction:
Jason Brownlee wrote:Welcome to Clever Algorithms! This is a handbook of recipes for computational problem solving techniques from the fields of Computational Intelligence, Biologically Inspired Computation, and Metaheuristics. Clever Algorithms are interesting, practical, and fun to learn about and implement. Research scientists may be interested in browsing algorithm inspirations in search of an interesting system or process analogs to investigate. Developers and software engineers may compare various problem solving algorithms and technique-specific guidelines. Practitioners, students, and interested amateurs may implement state-of-the-art algorithms to address business or scientific needs, or simply play with the fascinating systems they represent.

This introductory chapter provides relevant background information on Artificial Intelligence and Algorithms. The core of the book provides a large corpus of algorithms presented in a complete and consistent manner. The final chapter covers some advanced topics to consider once a number of algorithms have been mastered. This book has been designed as a reference text, where specific techniques are looked up, or where the algorithms across whole fields of study can be browsed, rather than being read cover-to-cover. This book is an algorithm handbook and a technique guidebook, and I hope you find something useful.




About The Author(s)


Jason has written books on artificial intelligence algorithms and has a Masters and a PhD in Artificial Intelligence. He is currently working in a perfect mix of developing scientific software for real users with actual problems.

Jason Brownlee

Jason has written books on artificial intelligence algorithms and has a Masters and a PhD in Artificial Intelligence. He is currently working in a perfect mix of developing scientific software for real users with actual problems.


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