Dual Phase Evolution: From Theory to Practice - Hardcover

Green, David G.; Liu, Jing; Abbass, Hussein A.

Hardcover

ISBN 10: 1441984224 ISBN 13: 9781441984227

Verlag: Springer, 2013

Inhaltsangabe

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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Über die Autorin bzw. den Autor

¿David Green is Professor of Computer Science at Monash University. His long research career includes many contributions to complexity theory and its applications, especially in forest ecology, computation, communication, proteins and social networks.

Nick Klomp is Professor of Environmental Science and President of CQUniversity, Australia. His research and teaching career has included significant contributions in terrestrial and marine ecology, population dynamics and modelling, conservation and land management.

Glyn Rimmington is Professor of Global Learning at Wichita State University. His research career includes many contributions to applications of complexity theory, especially environmental simulation and to helping people develop intercultural communication competence to work in globally distributed teams.

Suzanne Sadedin is an evolutionary biologist and science writer. Her research at Monash, Tennessee, Harvard, and KU Leuven, and her writing, have contributed many deep insights about the role of evolution in the natural and human world.

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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).

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2013
• Sprache: Englisch
• ISBN 10: 1441984224
• ISBN 13: 9781441984227
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 222
• Kontakt zum Hersteller: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Deutschland