Evolutionary Algorithms, Swarm Dynamics and Complex Networks (eBook)
XXII, 312 Seiten
Springer Berlin Heidelberg (Verlag)
978-3-662-55663-4 (ISBN)
Evolutionary algorithms constitute a class of well-known algorithms, which are designed based on the Darwinian theory of evolution and Mendelian theory of heritage. They are partly based on random and partly based on deterministic principles. Due to this nature, it is challenging to predict and control its performance in solving complex nonlinear problems. Recently, the study of evolutionary dynamics is focused not only on the traditional investigations but also on the understanding and analyzing new principles, with the intention of controlling and utilizing their properties and performances toward more effective real-world applications. In this book, based on many years of intensive research of the authors, is proposing novel ideas about advancing evolutionary dynamics towards new phenomena including many new topics, even the dynamics of equivalent social networks. In fact, it includes more advanced complex networks and incorporates them with the CMLs (coupled map lattices), which are usually used for spatiotemporal complex systems simulation and analysis, based on the observation that chaos in CML can be controlled, so does evolution dynamics. All the chapter authors are, to the best of our knowledge, originators of the ideas mentioned above and researchers on evolutionary algorithms and chaotic dynamics as well as complex networks, who will provide benefits to the readers regarding modern scientific research on related subjects.
Swarm and Evolutionary Dynamics as a Network.- Evolutionary Dynamics and its Network Visualization - Selected Examples.- Differential Evolution Dynamics Modeled by Social Networks.- Conversion of SOMA Algorithm into Complex Networks.- Analysis of SOMA Algorithm Using Complex Network.- Improvement of SOMA Algorithm Using Complex Networks.- Complex Networks in Particle Swarm.- Comparison of Vertex Centrality Measures in Complex Network Analysis Based on Adaptive Artificial Bee Colony Algorithm.
Erscheint lt. Verlag | 25.11.2017 |
---|---|
Reihe/Serie | Emergence, Complexity and Computation | Emergence, Complexity and Computation |
Zusatzinfo | XXII, 312 p. 194 illus., 155 illus. in color. |
Verlagsort | Berlin |
Sprache | englisch |
Themenwelt | Technik |
Schlagworte | Complexity • complex networks • Coupled map lattices • evolutionary algorithms • evolutionary dynamics • spatiotemporal Deterministic Chaos |
ISBN-10 | 3-662-55663-4 / 3662556634 |
ISBN-13 | 978-3-662-55663-4 / 9783662556634 |
Haben Sie eine Frage zum Produkt? |
Digital Rights Management: ohne DRM
Dieses eBook enthält kein DRM oder Kopierschutz. Eine Weitergabe an Dritte ist jedoch rechtlich nicht zulässig, weil Sie beim Kauf nur die Rechte an der persönlichen Nutzung erwerben.
Dateiformat: PDF (Portable Document Format)
Mit einem festen Seitenlayout eignet sich die PDF besonders für Fachbücher mit Spalten, Tabellen und Abbildungen. Eine PDF kann auf fast allen Geräten angezeigt werden, ist aber für kleine Displays (Smartphone, eReader) nur eingeschränkt geeignet.
Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.
Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.
aus dem Bereich