Handbook of Research on Natural Computing for Optimization Problems

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Science & Nature, Mathematics, General Computing
Cover of the book Handbook of Research on Natural Computing for Optimization Problems by , IGI Global
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Author: ISBN: 9781522500605
Publisher: IGI Global Publication: May 25, 2016
Imprint: Information Science Reference Language: English
Author:
ISBN: 9781522500605
Publisher: IGI Global
Publication: May 25, 2016
Imprint: Information Science Reference
Language: English
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.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
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.

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