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Natural Computing Algorithms

Posted By: Underaglassmoon
Natural Computing Algorithms

Natural Computing Algorithms
Springer | Computer Science | November 9, 2015 | ISBN-10: 3662436302 | 554 pages | pdf | 8.1 mb

by Anthony Brabazon (Author), Michael O'Neill (Author), Seán McGarraghy (Author)
Suitable foundation for undergraduate and graduate courses in computer science, management science and engineering
Comprehensive introduction to the key natural computing algorithms for students and practitioners
Authors among leading researchers on the theory and practice of evolutionary computing paradigms


From the Back Cover
The field of natural computing has been the focus of a substantial research effort in recent decades. One particular strand of this research concerns the development of computational algorithms using metaphorical inspiration from systems and phenomena that occur in the natural world. These naturally inspired computing algorithms have proven to be successful problem-solvers across domains as diverse as management science, bioinformatics, finance, marketing, engineering, architecture and design.

This book is a comprehensive introduction to natural computing algorithms, suitable for academic and industrial researchers and for undergraduate and graduate courses on natural computing in computer science, engineering and management science.

About the Author
Prof. Anthony Brabazon is currently Associate Dean of the Smurfit Graduate School of Business, University College Dublin (UCD) and Professor of Accountancy; previous positions include Vice-Principal of Research and Innovation for the College of Business and Law, Head of Research for the School of Business and Programme Director for the Master of Accounting Degree. His primary research interests concern the development of natural computing theory and the application of related algorithms to real-world problems, particularly in the domain of business and finance and he has pioneered multidisciplinary collaborations with industry in areas such as financial mathematics, financial economics and computer science. He is cofounder and co director of the Natural Computing Research and Applications Group at UCD, among the most successful research groups dedicated to this subject. He has a bachelor's degree in commerce and a diploma in accounting, he is a qualified professional accountant and he has postgraduate qualifications in statistics and operations research.

Dr. Michael O'Neill is Director of the UCD (University College Dublin) Complex and Adaptive Systems Laboratory (CASL), a founding Director of the Natural Computing Research and Applications (NCRA) group, among the most successful research groups dedicated to this subject and a Senior Lecturer in the UCD School of Computer Science and Informatics. He is one of the inventors of Grammatical Evolution and is independently ranked as one of the top 5 researchers in Genetic Programming, with over 250 peer-reviewed publications, over 4000 citations and a H-index of 29. He has held senior positions in the key academic conference committees, journal boards and review committees in this field and he has supervised many Ph.D. and research M.Sc. projects in evolutionary computing. He has a bachelor's degree in biology and a Ph.D. in computer science.

Dr. Seán McGarraghy is the Director of the UCD Smurfit

Graduate School of Business M.Sc. in Business Analytics. He has qualifications in electronics, mathematics and management and his teaching and academic publications cover many aspects of business analytics and operations research. Particular topics of interests include combinatorial enumeration and optimization, network algorithms, supply chain management, quadratic forms and K-theory.

Number of Illustrations and Tables
142 illus., 22 in colour
Topics
Theory of Computation
Computational Intelligence
Artificial Intelligence (incl. Robotics)
Operations Research, Mathematical Programming
Operation Research/Decision Theory
Quantitative Finance


More info and Hardcover at Springer

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