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Mathematical Optimization Theory and Operations Research: Recent Trends : 23rd International Conference, MOTOR 2024, Omsk, Russia, June 30 – July 6, 2024, Revised Selected Papers / / edited by Anton Eremeev, Michael Khachay, Yury Kochetov, Vladimir Mazalov, Panos Pardalos



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Autore: Eremeev Anton Visualizza persona
Titolo: Mathematical Optimization Theory and Operations Research: Recent Trends : 23rd International Conference, MOTOR 2024, Omsk, Russia, June 30 – July 6, 2024, Revised Selected Papers / / edited by Anton Eremeev, Michael Khachay, Yury Kochetov, Vladimir Mazalov, Panos Pardalos Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Edizione: 1st ed. 2024.
Descrizione fisica: 1 online resource (401 pages)
Disciplina: 004.0151
Soggetto topico: Computer science - Mathematics
Artificial intelligence
Algorithms
Data structures (Computer science)
Information theory
Discrete mathematics
Mathematical Applications in Computer Science
Mathematics of Computing
Artificial Intelligence
Design and Analysis of Algorithms
Data Structures and Information Theory
Discrete Mathematics in Computer Science
Altri autori: KhachayMichael  
KochetovYury  
MazalovVladimir  
PardalosPanos  
Nota di contenuto: Mathematical Programming -- Optimal Convergence Rate for Mirror Descent Methods with Special Time-Varying Step Sizes Rules -- Numerical Methods for Variational Inequalities and Saddle Point Problems with Relative Inexact Information -- On Active-Set Methods for Quadratic Problems with Positive Semidefinite Matrices -- A Relaxed Cutting Method for the Convex Programming Problem -- Combinatorial Optimization -- On the Complexity of the Problem of Solving Systems of Tropical Polynomial Equations of Degree Two -- Super Domination Polynomial of a Graph -- A Fast Algorithm for Submodular Maximization with a Matroid Constraint -- Migrational Stability of Plane Tilings.-Maximin and Maxisum Network Location Problems with Various Metrics and Minimum Distance Constraints -- Operations Research -- Greedy Algorithms for the Temporal Bin Packing Problem with Failure Domain -- Energy-efficient Regular Strip Covering with Fixed-size Identical Sectors -- Optimal Placement of Mobile Sensors for Distance-Constrained Line Routing Problem -- Optimization of the Measurement Points Movement in One Problem of Synthesis of Temperature Control of a Furnace for Heating the Rods -- On the Method for Refining A Priori Estimates of the Objective Function in the Speed-in-Action Problem for a Linear Discrete-Time System -- Differential Information Economies: REE-equilibrium under Contract Based Approach -- Optimal Stopping Strategies in Gambler’s Ruin Game -- Randomized Greedy Strategy with Corner Filling for the Irregular 2D Bin Packing Problem -- A Real-World Parcel Routing Problem: MIP Formulation -- Integer Programming Models and Metaheuristics for Customer Order Scheduling -- Machine Learning and Optimization -- Mini-batch K-means++ Clustering Initialization -- UCB Strategy for Batch Data Processing on an Unknown Horizon -- Pseudo-Polynomial Algorithms for Some Problems of Searching for the Largest Subsets -- Improved Credit Scoring Model with Hyperparameter Optimization -- Approximation Scheme for a Sequence Weighted 2-Clustering with a Fixed Center of One Cluster -- Numerical Investigation of the Swarm Intelligence Algorithm Obtained Using ChatGPT for Univariate Global Optimization -- Short-Term Voltage Instability Identification: A Combined Approach of Maximum Lyapunov Exponent and K-Means Clustering.
Sommario/riassunto: This book constitutes the revised selected papers from the 23rd International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2024, held in Omsk, Russia from June 30 to July 06, 2024. The 26 full papers included in this book were carefully reviewed and selected from 79 submissions. These papers have been organized in the following topical sections: Mathematical programming; Combinatorial optimization; Operations research; and Machine learning and optimization.
Titolo autorizzato: Mathematical Optimization Theory and Operations Research: Recent Trends  Visualizza cluster
ISBN: 9783031733659
3031733657
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910918591603321
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Serie: Communications in Computer and Information Science, . 1865-0937 ; ; 2239