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Combined non-convex optimization algorithms based on differential evolution, harmony search, firefly, and L-BFGS methods

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IOP Conference Series: Materials Science and Engineering 2021年第1期1047卷

作者： P Sorokovikov A Gornov Matrosov Institute for System Dynamics and Control Theory of SB RAS 134 Lermontov Street Irkutsk 664033 Russian Federation

The paper presents an approach to the numerical investigation of the problems of finding a global optimum of multiextremal functions, based on the use of bioinspired and local search methods. Three combined non-convex optimization algorithms are proposed and implemented. As globalized bioinspired methods, differential evolution, harmony search, and firefly methods are used. For local descents, we used the L-BFGS method. The numerical study of modifications of the implemented approach has been carried out using known non-convex test functions. The developed algorithms have been applied to investigate the problem of the optimal orientation of the aircraft in space. The obtained numerical results allowed us to demonstrate the efficiency of the proposed algorithms.

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The method of extracting the contours of objects from satellite images 2

The method of extracting the contours of objects from satell...

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2nd Scientific-Practical Workshop Information Technologies: Algorithms, Models, systems, ITAMS 2019

作者： Yuriy, Avramenko Roman, Fedorov Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences Irkutsk664033 Russia Irkutsk scientific center of Siberian Branch of Russian Academy of Sciences Irkutsk664033 Russia

Earth remote sensing data is used to solve many practical problems, for example, for digitizing satellite images. This problem can be divided into three stages, in this case let it be the classification of objects, the extraction of contours and creation of a vector layer. Neural networks, the support vector method, the K-means method and others can be used to classify objects. Good results on the extraction of edges are given by the Canny edge detector, Harris operator, Hough transform, and other methods. Creation of a vector layer is not trivial problem. In this article, we propose a method for extracting the contours of objects from satellite images. The idea of the proposed method is to combine a neural network and an interpreter of the SOQL language. The neural network allows finding quickly possible positions of the object on textural and spectral features and the SOQL interpreter extract contours of the object by structural description and create vector layer. Copyright © 2019 for this paper by its authors.

关键词： Vectors

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Approximate methods of the solution of an optimal control problem on an operators network

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Journal of Physics: Conference Series 2021年第1期1864卷

作者： V.A. Baturin V.N. Sizykh Institute for System Dynamics and Control Theory of the Siberian Branch of the Russian Academy of Sciences Irkutsk Irkutsk State Railway University Irkutsk

The mathematical models describing behaviour of an operators network, and in particular multi-stage processes, are quite common in practice. In this work, the authors propose approximate methods for solving the control problem with parameters on the network of operators. They are based on the methodology developed in works [1-4].

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Multi-agent Algorithm for Re-allocating Grid-resources and Improving Fault-tolerance of Problem-solving Processes

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Procedia Computer Science 2019年 150卷 171-178页

作者： Alexander Feoktistov Roman Kostromin Ivan Sidorov Sergey Gorsky Gennady Oparin Matrosov Institute for System Dynamics and Control Theory of SB RAS Lermontot st. 134 Irkutsk 664033 Russia

Nowadays, a provision of the computational process fault-tolerance in Grid is a relevant issue. In the paper, we address a fault-tolerance improvement in solving large-scale scientific and applied problems that are implemented through modular programming in heterogeneous distributed computing environments. We describe a computational process by an abstract program (problem-solving scheme) that correlates to a workflow. The problem-solving scheme specifies modules (applied software) and their relations with each other. This paper proposes a new multi-agent algorithm for re-allocating Grid-resources when the computational process fails. The algorithm execution involves forming a residual problem-solving scheme using methods of the abstract program specialization and reallocating its modules between agents that represent computational resources. In comparison to the known algorithms for the same purpose, the proposed algorithm implements an adaptive multi-scenario solving this issue and therefore increases a degree of computational process fault-tolerance. Extensive modeling and practical experiments demonstrate the practicability of the proposed algorithm.

关键词： large-scale problems workflow Grid multi-agent management fault-tolerance

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On automated workflow for fine-tuning deepneural network models for table detection in document images

On automated workflow for fine-tuning deepneural network mod...

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Proceedings of the International Convention MIPRO

作者： Igor Cherepanov Andrey Mikhailov Alexey Shigarov Viacheslav Paramonov Siberian Branch of the Russian Academy of Sciences 134 Lermontov St Matrosov Institute for System Dynamics and Control Theory Irkutsk Russia 20 Gagarin Blvd Institute of Mathematics and Information Technologies of Irkutsk State University Irkutsk Russia

ISBN: (数字)9789532330991

ISBN: (纸本)9781728153391

Nowadays methods and software for extracting tables from document images and portable documents (PDF) continue to be actively developed. One of the promising approaches to this task is the usage of fine-tuned object detection models. However, this approach involves many manipulations with data preparation and training process configuration. This paper proposes an automated workflow for fine-tuning deep neural network models for the table detection in document images. It enables us to automate two sub-tasks: (i) preparing a training dataset in the PascalVOC format with image transformation and augmentation; (ii) training a table detection model by using the well-known Faster R-CNN architecture. Implementation of the workflow design simplifies the use of the approach proposed by decreasing the number of required manipulations.

关键词： Training Text analysis Process control Object detection Portable document format Software Task analysis

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Enumeration of isotopy classes of diagonal latin squares of small order using volunteer computing 4th

Enumeration of isotopy classes of diagonal latin squares of ...

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4th Russian Supercomputing Days Conference, RuSCDays 2018

作者： Vatutin, Eduard Belyshev, Alexey Kochemazov, Stepan Zaikin, Oleg Nikitina, Natalia Southwest State University Kursk Russia BOINC.ru Moscow Russia Matrosov Institute for System Dynamics and Control Theory SB RAS Irkutsk Russia Institute of Applied Mathematical Research KRC RAS Petrozavodsk Russia

ISBN: (纸本)9783030058067

The paper is devoted to discovering new features of diagonal Latin squares of small order. We present an algorithm, based on a special kind of transformations, that constructs a canonical form of a given diagonal Latin square. Each canonical form corresponds to one isotopy class of diagonal Latin squares. The algorithm was implemented and used to enumerate the isotopy classes of diagonal Latin squares of order at most 8. For order 8 the computational experiment was conducted in a volunteer computing project. The algorithm was also used to estimate how long it would take to enumerate the isotopy classes of diagonal Latin squares of order 9 in the same volunteer computing project. © 2019, Springer Nature Switzerland AG.

关键词： Combinatorial mathematics

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Distributed data storage for modern astroparticle physics experiments 3

Distributed data storage for modern astroparticle physics ex...

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3rd International Workshop on Data Life Cycle in Physics, DLC 2019

作者： Kryukov, Alexander Nguyen, Minh-Duc Bychkov, Igor Mikhailov, Andrey Shigarov, Alexey Dubenskaya, Julia Skobeltsyn Institute of Nuclear Physics Lomonosov Moscow State University Moscow119992 Russia Matrosov Institute for System Dynamics and Control Theory Siberian Branch of Russian Academy of Sciences Lermontov st. 134 Irkutsk Russia

The German-Russian Astroparticle Data Life Cycle Initiative is an international project launched in 2018. The Initiative aims to develop technologies that provide a unified approach to data management, as well as to demonstrate their applicability on the example of two large astrophysical experiments - KASCADE and TAIGA. One of the key points of the project is the development of a distributed storage, which, on the one hand, will allow data of several experiments to be combined into a single repository with unified interface, and on the other hand, will provide data to all participants of experimental groups for multi-messenger analysis. Our approach to storage design is based on the single write-multiple read (SWMR) model for accessing raw or centrally processed data for further analysis. The main feature of the distributed storage is the ability to extract data either as a collection of files or as aggregated events from different sources. In the last case the storage provides users with a special service that aggregates data from different storages into a single sample. Thanks to this feature, multi-messenger methods used for more sophisticated data exploration can be applied. Users can use both Web-interface and Application Programming Interface (API) for accessing the storage. In this paper we describe the architecture of a distributed data storage for astroparticle physics and discuss the current status of our work. © 2019 CEUR-WS. All rights reserved.

关键词： Information management

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Spatial data processing for monitoring of natural and antropogenic processes (SDM-2019)

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CEUR Workshop Proceedings 2020年 2534卷

作者： Shokin, Yurii I. Alt, Victor V. Bychkov, Igor V. Potaturkin, Oleg I. Pestunov, Igor A. Borzov, Sergey M. Vinokurov, Yury I. Vologzhina, Sayana Zh. Gordov, Evgeny P. Guk, Alexander P. Dobretsov, Nikolay N. Zhainakov, Amanbek Zh. Kalimoldayev, Maksat N. Lagutin, Anatoly A. Moskvichev, Vladimir V. Nozhenkova, Lyudmila F. Potapov, Vadim P. Puzanov, Aleksandr V. Rotanova, Irina N. Ruzhnikov, Gennady M. Smagin, Sergey I. Soifer, Victor A. Stempkovsky, Alexander L. Sutorikhin, Igor A. Tulokhonov, Arnold K. Turchanovsky, Igor Yu. Fedotov, Anatoly M. Tsibulskiy, Gennady M. Chimitdorzhiev, Tumen N. Shaidurov, Vladimir V. Yakubailik, Oleg E. Institute of Computational Technologies SB RAS Russia Siberian Federal Research Center for Agrobiotechnologies of the Russian Academy of Sciences Russia Matrosov Institute for System Dynamics and Control Theory SB RAS Russia Institute of Automation and Electrometry SB RAS Russia

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Methods and tools for evaluating the reliability of information and computation processes in Grid and cloud systems 1

Methods and tools for evaluating the reliability of informat...

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1st International Workshop on Information, Computation, and control systems for Distributed Environments, ICCS-DE 2019

作者： Feoktistov, A.G. Sidorov, I.A. Kostromin, R.O. Oparin, G.A. Basharina, O.Yu. Matrosov Institute for System Dynamics and Control Theory of SB RAS Lermontov St. 134 Irkutsk664033 Russia Irkutsk State University Karl Marx St. 1 Irkutsk664003 Russia

The paper addresses the relevant issue of ensuring the reliability of solving large scientific and applied problems in computing environments that integrate Grid and cloud computing. The main reliability parameter is the probability of successful problem-solving in a computing environment with the following specified quality criteria: efficiency of the allocated resources use, and time, deadline or cost of executing jobs. We propose a new technology for testing and evaluating the reliability of functioning of problem-oriented heterogeneous distributed computing environments. It integrates models, representing different layers of knowledge about the environments, and special tools that automate a study of these environments. Applying such technology provides an increase in the reliability and efficiency of heterogeneous distributed computing environments by parametric adjusting of local resources managers installed in the environment nodes. Their adjustment is implemented on the base of the results of testing and evaluating obtained with the use of complex (conceptual, simulation, and semi-natural) modeling and meta-monitoring of computational resources. Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Reliability

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Lepton flavor violating dark photon

arXiv

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arXiv 2023年

作者： Zhevlakov, Alexey S. Kirpichnikov, Dmitry V. Lyubovitskij, Valery E. Bogoliubov Laboratory of Theoretical Physics JINR Dubna141980 Russia Matrosov Institute for System Dynamics and Control Theory SB RAS Lermontov str. 134 Irkutsk664033 Russia Institute for Nuclear Research of the Russian Academy of Sciences Moscow117312 Russia Institut für Theoretische Physik Universität Tübingen Kepler Center for Astro and Particle Physics Auf der Morgenstelle 14 TübingenD-72076 Germany Departamento de Física y Centro Científico Tecnológico de Valparaíso-CCTVal Universidad Técnica Federico Santa María Casilla 110-V Valparaíso Chile of ANID Fernández Concha 700 Santiago Chile

We study the possible impact of dark photons on lepton flavor phenomenology. We derive the constraints on non-diagonal dark photon couplings with leptons by analyzing corresponding contributions to lepton anomalous magnetic moments, rare lepton decays and the prospects of fixed-target experiments aiming for search for light dark matter based on missing energy/momentum techniques. Copyright © 2023, The Authors. All rights reserved.

关键词： Photons

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