Modern Optimization Methods for Decision Making Under Risk and Uncertainty

ISBN-13: 9781032196411 / Twarda / 2023 / 380 str.

Opis

The book comprises original articles on topical issues in risk theory, rational decision making, statistical decisions, and control of stochastic systems.

Spis treści

Preface. Optimization of Complex Simulation Models with Stochastic Gradient Methods. Linking Catastrophe Modeling and Stochastic Optimization techniques for Integrated Catastrophe Risk Analysis and Management. Authentication for Coalition Groups. Robust Constructions of Risk Measures for Optimization under Uncertainty. On Minimum Length Confidence Intervals. The independence number of the generalized wheel graphs W^p2k+1. Approximations for Estimating Some Options Using the Inverse of the Laplace Transform. A Nash Equilibrium based Model of Agents Coordination through Revenue Sharing and Applications to Telecommunications. Nash Equilibrium and its Modern Applications. On the Vector Optimal Control of Risk Processes. The Type-Variety Principle in Ensuring the Reliability, Safety and Resilience of Critical Infrastructures. Informational Extended Games and Decision-Making Processes at Risk and Uncertainty. Energy Production and Storage Investments and Operation Planning Involving Variable Renewable Energy Sources: A Two-Stage Stochastic Optimization Model with Rolling Time Horizon and Random Stopping Time. How the Market Power of Electricity Suppliers and a Carbon Price Together Affect the Restructured Electricity Markets. Safety of Water Resources of River Basin. Optimization problems for retrial queues with unreliable server.

O autorze

Alexei A. Gaivoronski obtained Master and PhD degrees in operations research from Moscow University of Physics and Technology (1977 and 1980). His research interests are optimization under uncertainty, risk management, information economics with applications to finance, energy, telecommunications where he published more than 80 research papers. He is Professor of industrial economics and operations research in Norwegian University of Science and Technology. Previously he worked in academia and industry in Ukraine, Austria, France and Italy.

Pavel S. Knopov is the Head of Department, Mathematical Methods of Operation Research at the V.M. Glushkov Institute of Cybernetics National Academy of Science of Ukraine and Professor of National Taras Shevchenko University, Kiev, Ukraine. His research interest are stochastic optimization problems, problems of estimation of random processes and fields, control of random processes and field(s), Risk theory. He has supervised Master and PhD students and been a leader of several international projects.

Volodymyr A. Zaslavskyi is a Doctor of Sciences (Technologies), Professor of Department of Mathematical Informatics, Faculty of Computer Science and Cybernetics, Taras Shevchenko National University of Kyiv. His research interest includes risk analyses and optimization, systems analyses and type-variety principle applications, optimal redundancy and life cycle of critical systems. Guarantee of MAP "Business Informatics", He has supervisor of Master and PhD students, and been Leader of several international projects.