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Implementing an Artificial Intelligence algorithm is difficult. Algorithm descriptions may be incomplete, inconsistent, and distributed across a number of papers, chapters and even websites. This can result in varied interpretations of algorithms, undue attrition of algorithms, and ultimately bad science. This book is an effort to address these issues by providing a handbook of algorithmic recipes drawn from the fields of Metaheuristics, Biologically Inspired Computation and Computational Intelligence, described in a complete, consistent, and centralized manner. These standardized descriptions were carefully designed to be accessible, usable, and understandable. Most of the algorithms described were originally inspired by biological and natural systems, such as the adaptive capabilities of genetic evolution and the acquired immune system, and the foraging behaviors of birds, bees, ants and bacteria. An encyclopedic algorithm reference, this book is intended for research scientists, engineers, students, and interested amateurs. Each algorithm description provides a working code example in the Ruby Programming Language.--Back cover.
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Previews available in: English
Edition | Availability |
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Clever algorithms: nature-inspired programming recipes
2011, Lulu
in English
- 1st ed.
1446785068 9781446785065
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Published in
[S.l.]
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Includes bibliographical references and index.
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Feedback?June 29, 2019 | Edited by MARC Bot | import existing book |
July 30, 2014 | Created by ImportBot | import new book |