Handbook of Research on Natural Computing for Optimization Problems, VOL 2 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Research on Natural Computing for Optimization Problems, VOL 2 write by Jyotsna Kumar Mandal. This book was released on 2016-05-19. Handbook of Research on Natural Computing for Optimization Problems, VOL 2 available in PDF, EPUB and Kindle.
Handbook of Research on Natural Computing for Optimization Problems, VOL 1
Handbook of Research on Natural Computing for Optimization Problems, VOL 1 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Research on Natural Computing for Optimization Problems, VOL 1 write by Jyotsna Kumar Mandal. This book was released on 2016-05-19. Handbook of Research on Natural Computing for Optimization Problems, VOL 1 available in PDF, EPUB and Kindle.
Handbook of Research on Natural Computing for Optimization Problems
Handbook of Research on Natural Computing for Optimization Problems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Research on Natural Computing for Optimization Problems write by Mandal, Jyotsna Kumar. This book was released on 2016-05-25. Handbook of Research on Natural Computing for Optimization Problems available in PDF, EPUB and Kindle. 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.
Membrane Computing for Distributed Control of Robotic Swarms: Emerging Research and Opportunities
Membrane Computing for Distributed Control of Robotic Swarms: Emerging Research and Opportunities - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Membrane Computing for Distributed Control of Robotic Swarms: Emerging Research and Opportunities write by Florea, Andrei George. This book was released on 2017-03-10. Membrane Computing for Distributed Control of Robotic Swarms: Emerging Research and Opportunities available in PDF, EPUB and Kindle. Developments in bio-inspired computation have impacted multiple fields and created opportunities for new applications. In recent years, these techniques have been increasingly integrated into robotic systems. Membrane Computing for Distributed Control of Robotic Swarms: Emerging Research and Opportunities is an innovative reference source for the latest perspectives on biologically-inspired computation techniques for robot design and control. Highlighting a range of pivotal topics such as software engineering, simulation tools, and robotic security, this book is ideally designed for researchers, academics, students, and practitioners interested in the role of membrane computing in mobile robots.
Bioinspired Computation in Combinatorial Optimization
Bioinspired Computation in Combinatorial Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bioinspired Computation in Combinatorial Optimization write by Frank Neumann. This book was released on 2010-11-04. Bioinspired Computation in Combinatorial Optimization available in PDF, EPUB and Kindle. Bioinspired computation methods such as evolutionary algorithms and ant colony optimization are being applied successfully to complex engineering problems and to problems from combinatorial optimization, and with this comes the requirement to more fully understand the computational complexity of these search heuristics. This is the first textbook covering the most important results achieved in this area. The authors study the computational complexity of bioinspired computation and show how runtime behavior can be analyzed in a rigorous way using some of the best-known combinatorial optimization problems -- minimum spanning trees, shortest paths, maximum matching, covering and scheduling problems. A feature of the book is the separate treatment of single- and multiobjective problems, the latter a domain where the development of the underlying theory seems to be lagging practical successes. This book will be very valuable for teaching courses on bioinspired computation and combinatorial optimization. Researchers will also benefit as the presentation of the theory covers the most important developments in the field over the last 10 years. Finally, with a focus on well-studied combinatorial optimization problems rather than toy problems, the book will also be very valuable for practitioners in this field.
