- author = "Anthony Brabazon and Michael O'Neill and Sean McGarraghy",
- title = "Natural Computing Algorithms",
- publisher = "Springer",
- year = "2015",
- keywords = "genetic algorithms, genetic programming",
- isbn13 = "978-3-662-43630-1",
-
URL = "
http://www.springer.com/computer/theoretical+computer+science/book/978-3-662-43630-1",
- size = "401 pages",
-
abstract = "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.",
- notes = "Chapters on GP \cite{Brabazon:book:NCA.7} \cite{Brabazon:book:NCA.17} \cite{Brabazon:book:NCA.18} \cite{Brabazon:book:NCA.19} \cite{Brabazon:book:NCA.20}",
