Nonlinear Regression in Dynamic Environments Using Particle Swarm Optimization
This paper extends a PSO-based nonlinear regression technique to dynamic environments whereby the induced model dynamically adjusts when an environmental change is detected. As such, this work hybridizes a PSO designed for dynamic environments with a leas
- PDF / 20,477,947 Bytes
- 176 Pages / 439.37 x 666.142 pts Page_size
- 95 Downloads / 277 Views
Carlos Martín-Vide Miguel A. Vega-Rodríguez Miin-Shen Yang (Eds.)
Theory and Practice of Natural Computing 9th International Conference, TPNC 2020 Taoyuan, Taiwan, December 7–9, 2020 Proceedings
Lecture Notes in Computer Science Founding Editors Gerhard Goos Karlsruhe Institute of Technology, Karlsruhe, Germany Juris Hartmanis Cornell University, Ithaca, NY, USA
Editorial Board Members Elisa Bertino Purdue University, West Lafayette, IN, USA Wen Gao Peking University, Beijing, China Bernhard Steffen TU Dortmund University, Dortmund, Germany Gerhard Woeginger RWTH Aachen, Aachen, Germany Moti Yung Columbia University, New York, NY, USA
12494
More information about this series at http://www.springer.com/series/7407
Carlos Martín-Vide Miguel A. Vega-Rodríguez Miin-Shen Yang (Eds.) •
Theory and Practice of Natural Computing 9th International Conference, TPNC 2020 Taoyuan, Taiwan, December 7–9, 2020 Proceedings
123
•
Editors Carlos Martín-Vide Rovira i Virgili University Tarragona, Spain
Miguel A. Vega-Rodríguez University of Extremadura Cáceres, Spain
Miin-Shen Yang Chung Yuan Christian University Taoyuan, Taiwan
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-030-62999-1 ISBN 978-3-030-63000-3 (eBook) https://doi.org/10.1007/978-3-030-63000-3 LNCS Sublibrary: SL1 – Theoretical Computer Science and General Issues © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
These proceedings contain the papers that were presented at the 9th International Conference on the Theory and Practice of Natural Computing (TPNC 2020), held in Taoyuan, Taiwan, during December 7–9, 2020. The scope of TPNC is rather broad,
Data Loading...
