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" Clever algorithms : "
Jason Brownlee.
Document Type
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BL
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Record Number
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983404
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Doc. No
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b737774
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Main Entry
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Brownlee, Jason.
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Title & Author
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Clever algorithms : : nature-inspired programming recipes /\ Jason Brownlee.
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Edition Statement
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1st ed.
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Publication Statement
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[Place of publication not identified] :: Lulu,, 2011.
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Page. NO
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xii, 423 pages :: illustrations ;; 25 cm
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ISBN
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1446785068
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: 9781446785065
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Bibliographies/Indexes
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Includes bibliographical references and index.
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Abstract
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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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Subject
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Algorithms.
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Subject
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Bioinformatics.
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Subject
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Computer algorithms.
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Subject
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Ruby (Computer program language)
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Subject
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Algorithms.
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Subject
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Bioinformatics.
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Subject
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Computer algorithms.
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Subject
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Ruby (Computer program language)
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Dewey Classification
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001.642 UKD
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LC Classification
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QA76.9.A43B76 2011
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