Evolutionary Computation and Complex Networks

ISBN-13: 9783319599984 / Angielski / Twarda / 2018 / 148 str.

Jing Liu; Kay Chen Tan

Opis

The authors deeply 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.

Spis treści

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.

Blurb

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.

• Brings together the fields of evolutionary computation and complex networks, discussing them both qualitatively and quantitatively;
  
• Provides novel and efficient computational problem solving techniques that require little computer memory;
  
• Provides the pseudo-codes for the computational methods used in the book to enable readers to adopt the codes to their own problems.