Natural Computing Algorithms

• Main Authors: Brabazon, Anthony (Author), O'Neill, Michael (Author), McGarraghy, Seán (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
• Edition: 1st ed. 2015.
• Series: Natural Computing Series,
• Subjects: Computer science.; Operations research.; Decision making.; Computers.; Artificial intelligence.; Economics, Mathematical.; Management science.; Computational intelligence.; Computer Science.; Theory of Computation.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Operations Research, Management Science.; Operation Research/Decision Theory.; Quantitative Finance.
• Physical Description: XX, 554 p. 164 illus., 22 illus. in color. online resource.
• ISBN: 9783662436318
• ISSN: 1619-7127

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.