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Mathematical Optimization Theory and Operations Research: Recent Trends: 22nd International Conference, MOTOR 2023, Ekaterinburg, Russia, July 2–8, 2023, Revised Selected Papers de Michael Khachay

Mathematical Optimization Theory and Operations Research: Recent Trends: 22nd International Conference, MOTOR 2023, Ekaterinburg, Russia, July 2–8, 2023, Revised Selected Papers: Communications in Computer and Information Science, cartea 1881

Editat de Michael Khachay, Yury Kochetov, Anton Eremeev, Oleg Khamisov, Vladimir Mazalov, Panos Pardalos
en Limba Engleză Paperback – 21 sep 2023
This book constitutes refereed proceedings of the 22nd International Conference on Mathematical Optimization Theory and Operations Research: Recent Trends, MOTOR 2023, held in Ekaterinburg, Russia, during July 2–8, 2023. 

The 28 full papers and one invited paper presented in this volume were carefully reviewed and selected from a total of 61 submissions. The papers in the volume are organized according to the following topical headings: mathematical programming; stochastic optimization; discrete and combinatorial optimization; operations research; optimal control and mathematical economics; and optimization in machine learning.
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Specificații

ISBN-13: 9783031432569
ISBN-10: 3031432568
Pagini: 406
Ilustrații: XVI, 406 p. 100 illus., 60 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.59 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Communications in Computer and Information Science

Locul publicării:Cham, Switzerland

Cuprins

Invited Papers.- Towards Subderivative-based Zeroing Neural Networks.- Mathematical Programming.- An Algorithm for Decentralized Multi-agent Feasibility Problems.- Online Optimization Problems with Functional Constraints under Relative Lipschitz Continuity and Relative Strong Convexity Conditions.- A Cutting Method with Successive Use of Constraint Functions in Constructing Approximating Sets.- Implementing One Variant of the Successive Concessions Method for the Multi-objective Optimization Problem.- Stochastic Optimization.- UCB Strategy for Gaussian and Bernoulli Multi-armed Bandits.- Estimation of Both Unknown Parameters in Gaussian Multi-armed Bandit for Batch Processing Scenario.- Zero-order Stochastic Conditional Gradient Sliding Method for Non-smooth Convex Optimization.- Discrete and Combinatorial Optimization.- Tabu Search Metaheuristic for the Penalty Minimization Personnel Task Scheduling Problem.- An O(n log n)-time Algorithm for Linearly Ordered Packing of 2-bar Charts into OP T + 1 Bins.- Approximation Algorithms for Graph Cluster Editing Problems with Cluster Size at Most 3 and 4.- On Cone Partitions for the Min-cut and Max-cut Problems with Non negative Edges.- A Pattern-based Heuristic for a Temporal Bin Packing Problem with Conflicts.- Integer Models for the Total Weighted Tardiness Problem on a Single Machine.- Solving Maximin Location Problems on Networks with Different Metrics and Restrictions.- Operations Research.- On Probability Shaping for 5G MIMO Wireless Channel with Realistic LDPC Codes.- Additive Routing Problem for a System of High-priority Tasks.- Public-private Partnership Model with a Consortium.- Variable Neighborhood Search Approach for the Bi-criteria Competitive Location and Design Problem with Elastic Demand.- Decomposition Approach for Simulation-based Optimization of Inventory Management.- Optimal Control and Mathematical Economics.- The Algorithm for the Construction of a Symbolic Family of Regulators for Nonlinear Discrete Control Systems with Two Small Parameters.- Analytical Construction of the Singular Set in One Class of Time-optimal Control Problems in the Presence of Linear Segments of the Boundary of the Target.- On the Existence of Fuzzy Contractual Allocations, Fuzzy Core and Perfect Competition in an Exchange Economy.- Linear Interpolation of Program Control with Respect to a Multidimensional Parameter in the Approach Problem.- Behavior of Stabilized Trajectories of a Two Factor Economic Growth Model under the Changes of a Production Function Parameter.- Optimization in Machine Learning.- Uncertainty of Graph Clustering in Correlation Block Model.- Multi-target Weakly Supervised Regression Using Manifold Regularization and Wasserstein Metric.- Using General Least Deviations Method for Forecasting of Crops Yields.- Searching for Distance Graph Embeddings and Optimal Partitions of Compact Sets in Euclidean Space.