Swarm Intelligence and Bio-Inspired Computation

Theory and Applications

von

Herausgegeben:Yang, Xin-SheCui, ZhihuaXiao, RenbinGandomi, Amir HosseinKaramanoglu, Mehmet

BuchGebunden

Verkaufsrang14574586in

CHF109.20

BuchabCHF109.20

E-BookCHF122.50

In den Warenkorb

Beschreibung

Reviews the developments in swarm intelligence and bio-inspired computation from both the theory and application side, providing a complete resource that analyzes and discusses the trends in research directions. This book can help researchers to carry out timely research and inspire readers to develop algorithms.

Weitere Beschreibungen

Details

ISBN/GTIN978-0-12-405163-8

ProduktartBuch

EinbandGebunden

VerlagElsevier Science & Technology

Erscheinungsdatum20.05.2013

Reihen-Nr.C2012-0-02754-8

SpracheEnglisch

Gewicht770 g

Artikel-Nr.4435588

KatalogZeitfracht

Datenquelle-Nr.N3000001440671

Weitere Details

Autor

Herausgegeben:Yang, Xin-SheCui, ZhihuaXiao, RenbinGandomi, Amir HosseinKaramanoglu, Mehmet

Xin-She Yang obtained his DPhil in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and National Physical Laboratory (UK) as a Senior Research Scientist. He is currently a Reader in Modelling and Simulation at Middlesex University London, Fellow of the Institute of Mathematics and its Application (IMA) and a Book Series Co-Editor of the Springer Tracts in Nature-Inspired Computing. He has published more than 25 books and more than 400 peer-reviewed research publications with over 82000 citations, and he has been on the prestigious list of highly cited researchers (Web of Sciences) for seven consecutive years (2016-2022). Dr. Amir H. Gandomi is anARC DECRA Fellow at the Faculty of Engineering andInformation Technology, University of Technology Sydney, Australia. Prior to joining UTS, Dr. Gandomi was an Assistant Professor at Stevens Institute of Technology, USA and a Distinguished Research Fellow in BEACON center, Michigan State University, USA. Dr. Gandomi has published over two hundred journal papers and seven books which collectively have been cited 19,000+ times. He has been named as one of the most influential scientific mindsand Highly Cited Researcher (top 1% publications and 0.1% researchers) for four consecutive years, 2017 to 2020. He also ranked 18th in GP bibliography among more than 12,000 researchers. He has served as associate editor, editor and guest editor in several prestigious journals such as AE of SWEVO, IEEE TBD, and IEEE IoTJ. Dr. Gandomi is active in delivering keynotes and invited talks. His research interests are global optimization andbigdata analytics using Machine Learning and evolutionary computations in particular.