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El. knyga: Advances in Optimization and Applications: 13th International Conference, OPTIMA 2022, Petrovac, Montenegro, September 26-30, 2022, Revised Selected Papers

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Advances in Optimization and Applications: 13th International Conference, OPTIMA 2022, Petrovac, Montenegro, September 26-30, 2022, Revised Selected PapersDidesnis paveikslėlis
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This book constitutes the refereed proceedings of the 13th International Conference on Advances in Optimization and Applications, OPTIMA 2022, held in Petrovac, Montenegro, during September 26–30, 2022. 

The 13 full papers included in this book were carefully reviewed and selected from 26 submissions. They were organized in topical sections as follows: ?mathematical programming; global optimization; discrete and combinatorial optimization; optimization and data analysis; game theory and mathematical economics; and applications.
Mathematical Programming.- A Derivative-Free Nonlinear Least Squares
Solver.- Gradient-Type Methods for Optimization Problems with
Polyak- Lojasiewicz Condition: Early Stopping and Adaptivity to
Inexactness Parameter.- Global Optimization.- An Improved Genetic Algorithm
for the Resource-Constrained Project Scheduling Problem.- Nonlocal
Optimization Methods for Nonlinear Controlled Systems with Terminal
Constraints.- Discrete and Combinatorial Optimization.- Three-Bar Charts
Packing Problem.- An 11/7 Approximation Algorithm for Single Machine
Scheduling Problem with Release and Delivery Times.- Optimization and Data
Analysis.- Decentralized Strongly-Convex Optimization with Ane
Constraints: Primal and Dual Approaches.- Game Theory and Mathematical
Economics.- Analysis of the Model of Optimal Expansion of a
Firm.- Comparative Analysis of the Eciency of Financing the State
Budget through Emissions, Taxes and Public Debt.- Applications.- Construction
of Optimal Feedback for Zooplankton Diel Vertical Migration.- Synthesis of
Trajectory Planning Algorithms Using Evolutionary Optimization
Algorithms.- Application of Attention Technique for Digital
Pre-Distortion.- Forecasting with Using Quasilinear Recurrence Equation.
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