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Handbook of Research on Natural Computing for Optimization Problems

Handbook of Research on Natural Computing for Optimization Problems

Jyotsna Kumar Mandal, Somnath Mukhopadhyay, Tandra Pal
Copyright: © 2016 |Pages: 1015
ISBN13: 9781522500582|ISBN10: 1522500588|EISBN13: 9781522500599
DOI: 10.4018/978-1-5225-0058-2
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MLA

Mandal, Jyotsna Kumar, et al., editors. Handbook of Research on Natural Computing for Optimization Problems. IGI Global, 2016. https://doi.org/10.4018/978-1-5225-0058-2

APA

Mandal, J. K., Mukhopadhyay, S., & Pal, T. (Eds.). (2016). Handbook of Research on Natural Computing for Optimization Problems. IGI Global. https://doi.org/10.4018/978-1-5225-0058-2

Chicago

Mandal, Jyotsna Kumar, Somnath Mukhopadhyay, and Tandra Pal, eds. Handbook of Research on Natural Computing for Optimization Problems. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-5225-0058-2

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Nature-inspired computation is an interdisciplinary topic area that connects the natural sciences to computer science. Since natural computing is utilized in a variety of disciplines, it is imperative to research its capabilities in solving optimization issues.

The Handbook of Research on Natural Computing for Optimization Problems discusses nascent optimization procedures in nature-inspired computation and the innovative tools and techniques being utilized in the field. Highlighting empirical research and best practices concerning various optimization issues, this publication is a comprehensive reference for researchers, academicians, students, scientists, and technology developers interested in a multidisciplinary perspective on natural computational systems.

Table of Contents

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Front Materials
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Title Page
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Copyright Page
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Advances in Computational Intelligence and Robotics (ACIR) Book Series
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Editorial Advisory Board and List of Reviewers
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Foreword
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Preface
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Acknowledgment
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Chapters
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Evolutionary Computing and Swarm Intelligence
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Chapter 2
Neural Computing  (pages 490-490)
Neural Computing
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Chapter 3
Cellular Automata and Cellular Computing
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Chapter 4
Quantum Computing  (pages 663-663)
Quantum Computing
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Chapter 5
DNA Computing  (pages 718-718)
DNA Computing
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Chapter 6
Fuzzy Logic  (pages 821-821)
Fuzzy Logic
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Chapter 7
Others  (pages 889-889)
Others
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Back Materials
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Compilation of References
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About the Contributors
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Index
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