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Chen, Guanrong

Evolutionary Algorithms, Swarm Dynamics and Complex Networks

Chen, Guanrong - Evolutionary Algorithms, Swarm Dynamics and Complex Networks, ebook

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ISBN: 9783662556634
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Table of contents

1. Swarm and Evolutionary Dynamics as a Network
Ivan Zelinka

2. Evolutionary Dynamics and Its Network Visualization - Selected Examples
Orkhan Yarakhmedov, Victor Polyakh, Ivan Chernogorov, Ivan Zelinka

Part II. Applications

3. Differential Evolution Dynamics Modeled by Social Networks
Lenka Skanderová, Ivan Zelinka

4. Conversion of SOMA Algorithm into Complex Networks
Lukáš Tomaszek, Ivan Zelinka

5. Analysis of SOMA Algorithm Using Complex Network
Lukáš Tomaszek, Ivan Zelinka

6. Improvement of SOMA Algorithm Using Complex Networks
Lukáš Tomaszek, Ivan Zelinka

7. Complex Networks in Particle Swarm
Michal Pluhacek, Roman Šenkeřík, Adam Viktorin, Tomas Kadavy

8. Comparison of Vertex Centrality Measures in Complex Network Analysis Based on Adaptive Artificial Bee Colony Algorithm
Magdalena Metlicka, Donald Davendra

9. Randomization and Complex Networks for Meta-Heuristic Algorithms
Roman Šenkeřík, Ivan Zelinka, Michal Pluhacek, Adam Viktorin, Jakub Janostik, Zuzana Kominkova Oplatkova

10. Gallery of Evolutionary Networks
Ivan Zelinka, Roman Šenkeřík, Michal Pluháček

Part III. Miscellanies

11. Swarm Virus, Evolution, Behavior and Networking
Lubomir Sikora, Ivan Zelinka

12. Simple Networks on Complex Cellular Automata: From de Bruijn Diagrams to Jump-Graphs
Genaro J. Martínez, Andrew Adamatzky, Bo Chen, Fangyue Chen, Juan C. Seck-Tuoh-Mora

13. A Hybrid Multi-objective Evolutionary Approach for Power Grid Topology Design
Xiaowen Bi, Wallace K. S. Tang

14. Dynamic Analysis of Genetic Regulatory Networks with Delays
Zhi-Hong Guan, Guang Ling

15. Frontiers
Ivan Zelinka

Keywords: Engineering, Complexity, Applications of Graph Theory and Complex Networks

Editor
 
Publisher
Springer
Publication year
2018
Language
en
Edition
1
Series
Emergence, Complexity and Computation
Page amount
22 pages
Category
Technology, Energy, Traffic
Format
Ebook
eISBN (PDF)
9783662556634
Printed ISBN
978-3-662-55661-0

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