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Dual Phase Evolution de David G. Green

Dual Phase Evolution

Autor David G. Green, Jing Liu, Hussein A. Abbass
en Limba Engleză Paperback – 23 aug 2016
The aim of the book is to lay out the foundations and provide a detailed treatment of the subject. It will focus on two main elements in dual phase evolution: the relationship between dual phase evolution and other phase transition phenomena and the advantages of dual phase evolution in evolutionary computation and complex adaptive systems. The book will provide a coherent picture of dual phase evolution that encompasses these two elements and frameworks, methods and techniques to use this concept for problem solving.
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Specificații

ISBN-13: 9781493941827
ISBN-10: 1493941828
Pagini: 224
Ilustrații: XXVI, 196 p. 69 illus., 15 illus. in color.
Dimensiuni: 155 x 235 x 13 mm
Greutate: 0.35 kg
Ediția:Softcover reprint of the original 1st edition 2014
Editura: Springer
Locul publicării:New York, NY, United States

Cuprins

Dual Phase Evolution.- Network Theory.- Problem Solving and Evolutionary Computation.- DPE for Network Generation.- DPE Networks and Evolutionary Dynamics.- DPE for Problem Solving.- Conclusion and Future Work.

Textul de pe ultima copertă

This book explains how dual phase evolution operates in all these settings and provides a detailed treatment of the subject. The authors discuss the theoretical foundations for the theory, how it relates to other phase transition phenomena and its advantages in evolutionary computation and complex adaptive systems. The book provides methods and techniques to use this concept for problem solving. Dual phase evolution concerns systems that evolve via repeated phase shifts in the connectivity of their elements. It occurs in vast range of settings, including natural systems (species evolution, landscape ecology, geomorphology), socio-economic systems (social networks) and in artificial systems (annealing, evolutionary computing).

Caracteristici

Provides efficient Computational Problem Solving Techniques that require small computer memory Offers a thorough computational approach to the problem Provides the pseudo code for all computational methods used in the book so readers can adopt the code in their own problems

Notă biografică

About the author David Green is Professor of Information Technology at Monash University. He is internationally well-known for his research on complexity, especially the fundamental role played by networks. In the course of thirty-five years of research he has investigated the problems posed by complexity in fields as diverse as forest ecology, proteins and social networks. An early pioneer of the World Wide Web as a distributed information resource, he also contributed to national and international efforts to create comprehensive information resources about the world's biodiversity and environments. His other recent books include Complexity in Landscape Ecology and Dual Phase Evolution. Competitive literature Understanding social complexity is a huge challenge. The past decade has seen a host of books that begin to tackle the problem, each tackling some aspect of the problem. Examples include: The Tipping Point (Gladwell); Black Swans (Talleb); The Singularity Is Near (Kurzweil); The Wisdom of Crowds (Surowiecki); A Short History of Progress (Wright); Faster (Gleick) and Critical Mass (Ball). Each of these books deals with slices of the problem. Of Ants and Men shows how all of these issues fits into the emerging bigger picture of social complexity.