Evolutionary Computation and Complex Networks

Softcover Nachdruck of the original 1. Auflage 2019
ISBN: 978-3-030-09649-6
Verlag: Springer International Publishing

Buch, Englisch, 148 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 265 g

This book introduces the linkage between evolutionary computation and complex networks and the advantages of cross-fertilising ideas from both fields. Instead of introducing each field individually, the authors focus on the research that sits at the interface of both fields. The book is structured to address two questions: (1) how complex networks are used to analyze and improve the performance of evolutionary computation methods? (2) how evolutionary computation methods are used to solve problems in complex networks? The authors interweave complex networks and evolutionary computing, using evolutionary computation to discover community structure, while also using network analysis techniques to analyze the performance of evolutionary algorithms. The book is suitable for both beginners and senior researchers in the fields of evolutionary computation and complex networks.

Zielgruppe

Research

Autoren/Hrsg.

Liu, Jing

Tan, Kay Chen

Abbass, Hussein A.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Mathematik | Informatik EDV | Informatik Informatik Logik, formale Sprachen, Automaten

Inhaltsverzeichnis

Part 1: Background.- Evolutionary Computation.- Complex Networks.- Part 2: Using Complex Networks to Analyze Evolutionary Algorithms.- Evolutionary Dynamics on Complex Networks.- Problem Difficulty Prediction based on Complex Networks.- Network-based Problem Difficulty Prediction Measures.- Part 3: Using Evolutionary Algorithms to Solve Problems in Complex Networks.- Evolutionary Community Detection Algorithms.- Evolving Robust Networks using Evolutionary Algorithms.- Other Optimization Problems in Complex Networks.