Free Delivery Over $100
|
|
|||
|
||||
OverviewThis 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. Full Product DetailsAuthor: Jing Liu , Hussein A. Abbass , Kay Chen TanPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 1st ed. 2019 Weight: 0.454kg ISBN: 9783319599984ISBN 10: 3319599984 Pages: 148 Publication Date: 04 October 2018 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsPart 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
||||
