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Modelling, Computation and Optimization in Information Systems and Management Sciences. Proceedings of the 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences - MCO 2015 - Part II
Springer, 2015.
Academic editor: H. A. Le Thi, T. Pham Dinh, N. T. Nguyen
This proceedings set contains 85 selected full papers presentedat the 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences - MCO 2015, held on May 11–13, 2015 at Lorraine University, France. The present part II of the 2 volume set includes articles devoted to Data analysis and Data mining, Heuristic / Meta heuristic methods for operational research applications, Optimization applied to surveillance and threat detection, Maintenance and Scheduling, Post Crises banking and eco-finance modelling, Transportation, as well as Technologies and methods for multi-stakeholder decision analysis in public settings.
Chapters
Aleskerov F. T., Petrushchenko S., , in: Modelling, Computation and Optimization in Information Systems and Management Sciences. Proceedings of the 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences - MCO 2015 - Part II.: Springer, 2015. P. 15–21.
Data Envelopment Analysis is not very well applicable when a sample consists of firms operating under drastically different conditions. We offer a new method of efficiency estimation on heterogeneous samples based on a sequential exclusion of alternatives and standard DEA approach. We show a connection between efficiency scores obtained via standard DEA model and the ...
Added: December 3, 2015
Publication based on the results of:
Ponomarenko A., / Series Computer Science "arxiv.org". 2025.
This paper addresses the challenge of merging hierarchical navigable small world (HNSW) graphs, a critical operation for distributed systems, incremental indexing, and database compaction. We propose three algorithms for this task: Naive Graph Merge (NGM), Intra Graph Traversal Merge (IGTM), and Cross Graph Traversal Merge (CGTM). These algorithms differ in their approach to vertex selection ...
Added: July 30, 2026
Piontkovski D., / Series arXiv "math". 2026.
A noncommutative projective variety is defined, following Artin and Zhang, by a graded coherent algebra 𝐴. The category of coherent sheaves is then the quotient qgr(𝐴) of the category of finitely presented graded modules by the subcategory of torsion modules. We consider the categorical and polynomial entropies of the Serre twist, that is, of the ...
Added: June 23, 2026
Piontkovski D., / Series arXiv "math". 2025.
If a symmetric multilinear algebra is weakly nil, then it is Engel. This result may be regarded as an infinite-dimensional analogue of the well-known Jacobian theorem, which states that if a polynomial mapping has a polynomial inverse, then its Jacobian matrix is invertible. This refines a theorem of Gerstenhaber and partially answers a question posed ...
Added: June 23, 2026
Shipilov F., Barnyakov A., Ivanov A. et al., / Series Physics "arxiv.org". 2026.
A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning-based approach to fast simulation of the Focusing Aerogel Ring Imaging Cherenkov (FARICH) detector response. Given a particle track and momentum, ...
Added: May 19, 2026
Derkacheva A., Sakirkina M., Kraev G. et al., /. 2026.
Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...
Added: April 28, 2026
Pilé I., Deng Y., Shchur L., / Series arXiv "math". 2026. No. 2604.10254.
We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Svendsen-Wang and Wolff cluster algorithms. We examine the dynamics of these algorithms for two models in different universality classes: the Ising model and the Potts model with three components. The overlap of two ...
Added: April 20, 2026
Gabdullin N., Androsov I., / Series Computer Science "arxiv.org". 2026.
Label prediction in neural networks (NNs) has O(n) complexity proportional to the number of classes. This holds true for classification using fully connected layers and cosine similarity with some set of class prototypes. In this paper we show that if NN latent space (LS) geometry is known and possesses specific properties, label prediction complexity can ...
Added: April 2, 2026
Sorokin K., Beketov M., Онучин А. et al., / arxiv.org. Серия cs.SI "Social and Information Networks ". 2025.
Community detection in complex networks is a fundamental problem, open to new approaches in various scientific settings. We introduce a novel community detection method, based on Ricci flow on graphs. Our technique iteratively updates edge weights (their metric lengths) according to their (combinatorial) Foster version of Ricci curvature computed from effective resistance distance between the ...
Added: January 15, 2026
Petrovanov I., Sergeev A., / Series Computer Science "arxiv.org". 2025. No. 2512.18332.
Transport coding reduces message delay in packet-switched networks by introducing controlled redundancy at the transport layer: original packets are encoded into coded packets, and the message is reconstructed after the first successful deliveries, effectively shifting latency from the maximum packet delay to the -th order statistic. We present a concise, reproducible discrete-event implementation of transport coding in OMNeT++, including ...
Added: December 24, 2025
Arinin O. V., Bakhmach D. M., Katsnelson A. et al., , in: 2025 Systems of Signals Generating and Processing in the Field of on Board Communications.: IEEE, 2025. P. 1–5.
This research discusses the method of dataset collection automatization for microwave filter synthesis by integrating machine learning techniques, thus reducing development time. Utilizing the 3D electromagnetic analysis software package, the study involves simulation and collecting geometric parameters and amplitude-frequency characteristics from three variants of passband highly selective microstrip tworesonator combined filters with stepped impedance resonators. ...
Added: December 6, 2025
Hessian-based lightweight neural network for brain vessel segmentation on a minimal training dataset
Меньшиков И. А., Бернадотт А. К., Elvimov N. S., / Series arXie "Statistical mechanics". 2025.
Accurate segmentation of blood vessels in brain magnetic resonance angiography (MRA) is essential for successful surgical procedures, such as aneurysm repair or bypass surgery. Currently, annotation is primarily performed through manual segmentation or classical methods, such as the Frangi filter, which often lack sufficient accuracy. Neural networks have emerged as powerful tools for medical image ...
Added: December 1, 2025
Medvedev M., Journal of Chemical Information and Modeling 2025 Vol. 65 No. 12
Added: November 12, 2025
Rubchinskiy A., Chubarova D., / Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2025. No. WP7/2025/01.
The article examines one of the most famous examples of socio-economic systems, characterized by significant uncertainty – the S&P-500 stock market, where shares of 500 largest US companies are traded. No assumptions are made about the probabilistic characteristics of the stock market. A flexible algorithm for daily trading has been developed, based on both known fixed data ...
Added: November 9, 2025
Enatskaya N., Вестник Самарского государственного технического университета. Серия: Физико-математические науки 2025 Т. 29 № 3 С. 538–553
This study investigates combinatorial substitution schemes with various constraints on cycle sizes: lower bounds, upper bounds, and two-sided bounds. For the proposed schemes, we solve several enumerative combinatorics problems: determining the number of possible outcomes, constructing direct numbered enumerations, solving numbering problems (establishing bijective correspondences between indices and types of outcomes), deriving probability distributions over ...
Added: October 26, 2025
Molostvov V., Advances in Systems Science and Applications 2025 Vol. 25 No. 1 P. 1–11
A two-criteria vector optimization problem – finding Pareto-optimal solutions in linear systems with interval uncertainty of coefficients – is considered. The problem of resource allocation to multiple activities is investigated. The uncertainty-adjusted income is a bilinear function, linear by strategy under fixed uncertainty and by uncertain parameters under fixed strategy. Guaranteed income is a linear ...
Added: August 26, 2025
Morozov V., Башара В. О., Емельяненко М. В., В кн.: Параллельные вычислительные технологии – XIX всероссийская научная конференция с международным участием, ПаВТ’2025, г. Москва, 8–10 апреля 2025 г. Короткие статьи и описания плакатов.: Челябинск: Издательский центр ЮУрГУ, 2025. С. 193–210.
Error correction in the secret key is a mandatory step in quantum key distribution (QKD) protocols. Usually, modern error-correcting codes are used for its implementation. Imperfections of the hardware used in QKD systems lead to bit flipping errors in the channel. Moreover, such systems are characterized by an asymmetric distribution of such errors. Taking into ...
Added: June 3, 2025
Panos Pardalos, Valery Kalyagin, Mario R. Guarracino, Computational Management Science 2024 Vol. 21 No. 1 Article 35
Big data has become an integral part of modern networks. With the increasing amount of data generated by devices, machines, and applications, networks are constantly being challenged to handle and process this data in a timely and efficient manner. The size, complexity, and variety of data in networks are increasing rapidly, which requires new approaches ...
Added: February 22, 2025
Gabdrahmanov R., Tsoy T., Bai Y. et al., , in: Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics.: SciTePress, 2022. Ch. n/a P. 565–572.
Added: February 19, 2025
Molostvov V., Advances in Systems Science and Applications 2024 Vol. 24 No. 2 P. 103–115
This paper presents the development of computing tools for finding optimal structures of multi-currency deposits in terms of guaranteed risk under uncertain exchange rates. The approach utilizes Savage's minimax regret concept to calculate risk and guaranteed risk functions explicitly, assuming only the limits of possible changes in uncertain parameters are known. The Excel environment implements ...
Added: August 9, 2024
Minko K., Lototskyy M., Bessarabskaya I. et al., International Journal of Hydrogen Energy 2024
CFD modelling of heat-and-mass transfer in metal hydride (MH) beds is an important step in the development
and optimisation of MH reactors for hydrogen storage, compression and separation/purification. In the existing
models, the mass conservation equation includes the density of solid in the non-hydrogenated (ρs) and hydrogensaturated (ρss) states. To provide constant porosity of the MH bed during ...
Added: June 18, 2024
Sizov M., Shushkin M., Информационное общество 2024 № 6 С. 2–15
This study investigates the influence of digital technologies on conventional business processes and the competitive advantages of Kazakhstani companies in the FMCG sector. Additionally, it explores their contribution to innovativeness and productivity. A systematic literature review was conducted to achieve the research objective. The study results indicate that digital business processes possess unique characteristics, such ...
Added: May 14, 2024
Dranov E., Fedyanin D., , in: 2023 5th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA)Vol. 5.: IEEE, 2023. P. 464–469.
The authors focus on a problem on equilibrium control in Cournout competition. Our approach uses Cognitive Approach to Reasoning. From one point of view agents plays a game with a fixed market size, and at the same time they have their own beliefs about what market size really is. It influence the equilibrium and the ...
Added: February 24, 2024