Handbook of Research on Natural Computing for Optimization Problems
Seiten
2016
|
2 Volume Set
Information Science Reference (Verlag)
978-1-5225-0058-2 (ISBN)
Information Science Reference (Verlag)
978-1-5225-0058-2 (ISBN)
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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, academics, students, scientists, and technology developers.
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.
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.
Jyotsna Kumar Mandal, University of Kalyani, India. Somnath Mukhopadhyay, Calcutta Business School, India. Tandra Pal, National Institute of Technology, India.
| Erscheinungsdatum | 02.06.2016 |
|---|---|
| Reihe/Serie | Advances in Computational Intelligence and Robotics |
| Verlagsort | Hershey |
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Gewicht | 4060 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| ISBN-10 | 1-5225-0058-8 / 1522500588 |
| ISBN-13 | 978-1-5225-0058-2 / 9781522500582 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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