Fundamentals of natural computing : basic concepts, algorithms, and applications

著者

    • De Castro, Leandro N.

書誌事項

Fundamentals of natural computing : basic concepts, algorithms, and applications

Leandro Nunes de Castro

(Chapman & Hall/CRC computer and information science series / series editor, Sartaj Sahni)

Chapman & Hall/CRC, Taylor & Francis, 2006

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

Natural computing brings together nature and computing to develop new computational tools for problem solving; to synthesize natural patterns and behaviors in computers; and to potentially design novel types of computers. Fundamentals of Natural Computing: Basic Concepts, Algorithms, and Applications presents a wide-ranging survey of novel techniques and important applications of nature-based computing. This book presents theoretical and philosophical discussions, pseudocodes for algorithms, and computing paradigms that illustrate how computational techniques can be used to solve complex problems, simulate nature, explain natural phenomena, and possibly allow the development of new computing technologies. The author features a consistent and approachable, textbook-style format that includes lucid figures, tables, real-world examples, and different types of exercises that complement the concepts while encouraging readers to apply the computational tools in each chapter. Building progressively upon core concepts of nature-inspired techniques, the topics include evolutionary computing, neurocomputing, swarm intelligence, immunocomputing, fractal geometry, artificial life, quantum computing, and DNA computing. Fundamentals of Natural Computing is a self-contained introduction and a practical guide to nature-based computational approaches that will find numerous applications in a variety of growing fields including engineering, computer science, biological modeling, and bioinformatics.

目次

Introduction. Conceptualization. PART I - COMPUTING INSPIRED BY NATURE. Evolutionary Computing. Neurocomputing. Swarm Intelligence. Immunocomputing. PART II - SIMULATION AND EMULATION OF NATURAL PHENOMENA IN COMPUTERS. Fractal Geometry of Nature. Artificial Life. PART III - COMPUTING WITH NATURAL MATERIALS. DNA Computing. Quantum Computing. Afterwords. Appendices. Index. Natural computing

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