Optimization and Optimal Control

Theory and Applications

  • Altannar Chinchuluun
  • Panos M. Pardalos
  • Rentsen Enkhbat
  • Ider Tseveendorj
Part of the Springer Optimization and Its Applications book series (SOIA, volume 39)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Gábor Kassay
    Pages 55-83
  3. David Yang Gao, Ning Ruan, Hanif D. Sherali
    Pages 139-156
  4. Mend-Amar Majig, Abdel-Rahman Hedar, Masao Fukushima
    Pages 169-184
  5. Lkhamsuren Altangerel, Gert Wanka
    Pages 185-197
  6. Duan Li, Xiaoling Sun, Shenshen Gu, Jianjun Gao, Chunli Liu
    Pages 199-225
  7. Baasansuren Jadamba, Akhtar A. Khan, Fabio Raciti, Behzad Djafari Rouhani
    Pages 227-240
  8. Draguna Vrabie, Frank Lewis
    Pages 309-323
  9. Alexander S. Buldaev
    Pages 325-373
  10. Hans P. Geering, Florian Herzog, Gabriel Dondi
    Pages 375-408
  11. Fabio D. Fagundez, João Lauro D. Facó, Adilson E. Xavier
    Pages 409-421

About this book

Introduction

Optimization and optimal control are the main tools in decision making. Because of their numerous applications in various disciplines, research in these areas is accelerating at a rapid pace. “Optimization and Optimal Control: Theory and Applications” brings together the latest developments in these areas of research as well as presents applications of these results to a wide range of real-world problems. The book is composed of invited contributions by experts from around the world who work with optimization and optimal control either at a theoretical level or in practice. Some key topics presented include: equilibrium problems, stochastic processes, decision algorithms, scheduling, queuing theory, quantum computing, agriculture, and industrial operations. This volume can serve as a useful resource for researchers, practitioners, and advanced graduate students of mathematics and engineering working in research areas where results in optimization and optimal control can be applied.

Keywords

Maxima algorithms calculus control evolution evolutionary algorithm global optimization learning mathematics optimal control optimization quadratic programming reinforcement learning scheduling

Editors and affiliations

  • Altannar Chinchuluun
    • 1
  • Panos M. Pardalos
    • 2
  • Rentsen Enkhbat
    • 3
  • Ider Tseveendorj
    • 4
  1. 1.LondonUnited Kingdom
  2. 2.Dept. Industrial & Systems, EngineeringUniversity of FloridaGainesvilleUSA
  3. 3.The School of Economic Studies, Dept.of Mathematics & Computer ScienceNational University of MongoliaUlaanbaatarMongolia
  4. 4.Labo. PRISMUniversité VersaillesVersailles CXFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-89496-6
  • Copyright Information Springer Science+Business Media, LLC 2010
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-387-89495-9
  • Online ISBN 978-0-387-89496-6
  • Series Print ISSN 1931-6828
  • About this book