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