Principles in Noisy Optimization

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106,99 

Applied to Multi-agent Coordination, Cognitive Intelligence and Robotics

ISBN: 9811086419
ISBN 13: 9789811086410
Autor: Rakshit, Pratyusha/Konar, Amit
Verlag: Springer Verlag GmbH
Umfang: xvi, 367 S., 34 s/w Illustr., 54 farbige Illustr., 367 p. 88 illus., 54 illus. in color.
Erscheinungsdatum: 29.11.2018
Auflage: 1/2018
Produktform: Gebunden/Hardback
Einband: Gebunden

This book extends traditional evolutionary optimization algorithms in the contexts of noisy single and multi-objective optimization. It also demonstrates the scope of noisy optimization algorithms in real-world multi-agent coordination problems. Although many books, papers and conference proceedings are available on evolutionary optimization, there is still a scarcity of literature on noisy optimization, a gap that this book remedies. Unique in terms of its content, organization and above all insightful presentation of complex algorithms in an easy-to-read style, the book is primarily intended for graduate students and researchers in electrical engineering and computer science, though it will prove equally useful for researchers migrating from other disciplines. The book includes 7 chapters. Chapters 1 and 2 provide the prerequisites needed to understand the principles addressed in subsequent chapters. Chapter 3 offers a thorough review of the extant literature on noisy optimization, while Chapters 4 and 5 deal with single and multi-objective noisy evolutionary optimization, respectively. Chapter 6 aims at extending traditional optimization algorithms so as to enable them to work in the presence of stochastic noise. Lastly, Chapter 7 outlines the future scope of research and applications of noisy optimization.

Artikelnummer: 3614119 Kategorie:

Beschreibung

· ·        Reviews the existing principles of noisy optimization in a lucid and insightful manner  ·        Presents the latest techniques of noisy evolutionary optimization with their applications in agent coordination ·        A high school  level background of mathematics is good enough to understand most of the chapters in the book Includes the MATLAB codes of the proposed algorithms to enable the readers to readily use the techniques for their own applications

Autorenporträt

Dr. Pratyusha Rakshit received her B.Tech. degree in Electronics and Communication Engineering (ECE) from the Institute of Engineering and Management, Kolkata, India, and her M.E. degree in Control Engineering from the Department of Electronics and Telecommunication Engineering (ETCE), Jadavpur University, Kolkata, India in 2010 and 2012, respectively. She was awarded her Ph.D. (Engineering) degree from Jadavpur University, India, in 2016 and is currently an Assistant Professor at its ETCE Department. She was awarded Gold Medals for securing the highest marks in B.Tech. in ECE and among all the courses of M.E. respectively in 2010 and 2012. She was the recipient of the CSIR Senior Research Fellowship, INSPIRE Fellowship and UGC UPE-II Junior Research Fellowship. Her principal research interests include artificial and computational intelligence, evolutionary computation, robotics, bioinformatics, pattern recognition, fuzzy logic, cognitive science and human-computer interaction. She is the author of over 50 papers published in top international journals and conference proceedings. She also serves as a reviewer for IEEE-TFS, IEEE-SMC: Systems, Neurocomputing, Information Sciences, and Applied Soft Computing.  Dr. Amit Konar is currently a Professor at the Department of Electronics and Telecommunication Engineering, Jadavpur University, Kolkata, India. Dr. Konar is the author of over 350 publications, including books/monographs, peer-reviewed book chapters and papers, all with leading international publishers. He is an Associate Editor of several prestigious journals, including IEEE Transactions, Elsevier, Springer and IOS Press, the Netherlands. He has undertaken several prestigious research projects, including UGCs departmental research support (DRS) scheme, DITs national project on Perception Engineering and UGCs excellence program in Cognitive Science. Dr. Konar was a recipient of the AICTE-accredited 1997-2000 Career Award for young teachers. He has been nominated as a Fellow of the National Academy of Engineering, and his current research interests include human-computer interfacing, cognitive neuroscience, robotics and machine intelligence. 

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E-Mail: juergen.hartmann@springer.com

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