· · 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

Autorentext

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 humancomputer 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 UGC's departmental research support (DRS) scheme, DIT's national project on Perception Engineering and UGC's excellence program in Cognitive Science. Dr. Konar was a recipient of the AICTE-accredited 19972000 Career Award for young teachers. He has been nominated as a Fellow of the National Academy of Engineering, and his current research interests include humancomputer interfacing, cognitive neuroscience, robotics and machine intelligence.

Inhalt

Chapter 1. Foundations in Evolutionary Optimization Algorithms.- Chapter 2. Multi-agent Coordination.- Chapter 3. Evolutionary Algorithms in Presence of Noise.- Chapter 4. Learning based Noisy Optimization.- Chapter 5. Noisy Coordination in Multi-objective Settings.- Chapter 6. Integrating Principles of Noisy Optimization with Evolutionary Optimization.- Chapter 7. Conclusion and Future Direction.