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
  12. Haltar Damba, Vladimir M. Tikhomirov, Konstantin Y. Osipenko
    Pages 449-461
  13. Won-Joo Hwang, Cong Loi Le, Rentsen Enkhbat
    Pages 463-478
  14. Neng Fan, Altannar Chinchuluun, Panos M. Pardalos
    Pages 479-498

About this book


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.


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