Evolutionary Algorithms, Swarm Dynamics and Complex Networks
Details
Includes recent research in Complex Networks and Evolutionary Dynamics
Highlights the mutual relations between the dynamics of evolutionary algorithms, complex networks, and CML (Coupled Map Lattices) systems
Shows how these relations can be used to simulate spatiotemporal deterministic chaos
Includes recent research in Complex Networks and Evolutionary Dynamics Highlights the mutual relations between the dynamics of evolutionary algorithms, complex networks, and CML (Coupled Map Lattices) systems Shows how these relations can be used to simulate spatiotemporal deterministic chaos Includes supplementary material: sn.pub/extras
Zusammenfassung
Includes recent research in Complex Networks and Evolutionary Dynamics
Highlights the mutual relations between the dynamics of evolutionary algorithms, complex networks, and CML (Coupled Map Lattices) systems
Shows how these relations can be used to simulate spatiotemporal deterministic chaos
Inhalt
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 Articial Bee Colony Algorithm.
Weitere Informationen
- Allgemeine Informationen- GTIN 09783662572474
- Auflage Softcover reprint of the original 1st edition 2018
- Editor Guanrong Chen, Ivan Zelinka
- Sprache Englisch
- Genre Allgemeines & Lexika
- Lesemotiv Verstehen
- Größe H235mm x B155mm x T19mm
- Jahr 2018
- EAN 9783662572474
- Format Kartonierter Einband
- ISBN 3662572478
- Veröffentlichung 04.09.2018
- Titel Evolutionary Algorithms, Swarm Dynamics and Complex Networks
- Untertitel Methodology, Perspectives and Implementation
- Gewicht 511g
- Herausgeber Springer Berlin Heidelberg
- Anzahl Seiten 336
 
 
    
