Optimization, Simulation and Control (eBook)

ICOSC 2022, Ulaanbaatar, Mongolia, June 20–22

Rentsen Enkhbat, Altannar Chinchuluun, Panos M. Pardalos (Herausgeber)

eBook Download: PDF

2023
X, 200 Seiten
Springer International Publishing (Verlag)
978-3-031-41229-5 (ISBN)

Infos

This volume gathers selected, peer-reviewed works presented at the 7th International Conference on Optimization, Simulation and Control, ICOSC 2022, held at the National University of Mongolia, Ulaanbaatar, June 20-22, 2022. Topics covered include (but are not limited to) mathematical programming; network, global, linear, nonlinear, parametric, stochastic, and multi-objective optimization; control theory; biomathematics; and deep and machine learning, to name a few. 

Held every three years since 2002, the ICOSC conference has become a traditional gathering for experienced and young researchers in optimization and control to share recent findings in these fields and discuss novel applications in myriad sectors. Researchers and graduate students in the fields of mathematics, engineering, and computer science can greatly benefit from this book, which can also be enjoyed by advanced practitioners in research laboratories and the industry.

The 2022 edition of the ICOSC conference was sponsored by the Mongolian Academy of Sciences, the National University of Mongolia and the German-Mongolian Institute for Resources and Technology.

Rentsen Enkhbat is a Professor at the National University of Mongolia. He is also the head of the Mathematical department in the Institute of Mathematics and Digital Technology of the Mongolian Academy of Sciences. He received his Ph.D from the Irkutsk State University, Russia in 1990 and Sc.D. from the Mongolian Academy of Sciences in 2002. His research focuses on global optimization, game theory and optimal control.

Altannar Chinchuluun is a faculty member of the Business School at the National University of Mongolia. He is also a researcher at the Institute of Mathematics and Digital Technology of the Mongolian Academy of Sciences. He received his Ph.D from the University of Florida in 2007. His research focuses on optimization, network design problems, data mining with biomedical applications and computational finance.

Panos M. Pardalos is an Emeritus Professor in the Industrial and Systems Engineering at the University of Florida. He received his Ph.D. from the University of Minnesota in 1985.  Additionally, he is the Paul and Heidi Brown Preeminent Professor of Industrial and Systems Engineering at the University of Florida. He is also an affiliated faculty member of the Computer and Information Science Department, the Hellenic Studies Center, and the biomedical engineering program at the University of Florida. He is also the director of the Center for Applied Optimization at the University of Florida. He is a world leading expert in global and combinatorial optimization. His research interests include network design problems, optimization in telecommunications, e-commerce, data mining, biomedical applications, and massive computing.

Produkt-Details

• Erscheint lt. Verlag: 30.10.2023
• Reihe/Serie: Springer Proceedings in Mathematics & Statistics
• Reihe/Serie: Springer Proceedings in Mathematics & Statistics
• Zusatzinfo: X, 200 p. 38 illus., 24 illus. in color.
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Schlagworte: complementarity problem • Deep learning • Fixed Point Theory • Global Optimization • Mathematical Programming • Monte Carlo Method • Network Optimization • Nonlinear Optimization • optimal control
• ISBN-10: 3-031-41229-X / 303141229X
• ISBN-13: 978-3-031-41229-5 / 9783031412295