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On the Efficiency of Metaheuristic Optimization for Adaptive Image Steganography in the DFT Domain
P. 49–54.
In book
Krouk E. IEEE, 2021.
Ustinov A., Математические заметки 2003 Т. 73 № 1 С. 106–112
The first part of this paper is concerned with the proof of a discrete analog of the Poisson summation formula. In the second part, we describe an elementary proof of a functional equation for the function θ(t), based on the summation formula derived in the paper. ...
Added: October 11, 2025
Sohrabi M., Fathollahi-Fard A., Vasilii A. Gromov et al., Neural Computing and Applications 2025 Vol. 37 No. 18 P. 12253–12279
The generalized quadratic assignment problem (GQAP) poses a significant challenge in optimization, known for its NP-hard complexity and wide-ranging applications in supply chain and manufacturing contexts. While various metaheuristic algorithms have addressed the GQAP, this paper introduces a novel modification of the genetic algorithm (GA), namely the genetic engineering algorithm (GEA). A traditional GA initializes ...
Added: April 2, 2025
Akopov A. S., Beklaryan A., Экономика и математические методы 2023 Т. 59 № 3 С. 117–131
This article presents a new simulation model of a multi-agent socio-economic system (MA-SES), in which individual, including interproduct interactions are implemented. Within the MA-SES, the models of agent-producers and agents-consumers behaviour with their objective functions are studied. In particular, producers follow their own production strategies by choosing the moments for introducing new fixed assets and ...
Added: May 25, 2024
Kosmachev A., Задорожникова А. А., Perov A., В кн.: БОЛЬШИЕ ДАННЫЕ Материалы I Международного форума (Новосибирск, 16–18 ноября 2022 года).: Новосибирск: Новосибирский государственный университет экономики и управления «НИНХ», 2023.
The article discusses the basic concepts and terms used in steganography, substantiates the relevance of the problem of steganalysis, discusses the use of deep neural networks in the tasks of steganalysis on digital images. A comparative analysis and description of the most effective convolutional network architectures for solving the task is performed. ...
Added: January 26, 2024
Andranik S. Akopov, Armen L. Beklaryan, Zhukova A., Cybernetics and Information Technologies 2023 Vol. 23 No. 2 P. 87–104
A novel approach to modeling stochastic processes of goods exchange between multiple agents is presented, considering the possibility of optimizing the environment’s characteristics and individual decision-making strategies. The proposed model makes it possible to form optimal states when choosing the moments of concluding barter and monetary transactions at the individual level of each agent maximizing ...
Added: June 8, 2023
Медведева Е. Г., Khayrov E., Поляков Н. А. et al., Системы и средства информатики 2020 Т. 30 № 4 С. 25–37
The paper provides an overview of tasks that arise in wireless networks with mobile base stations located on unmanned aerial vehicles (UAV). The authors choose two methods of adaptive navigation based on user clustering for a comparative analysis of effectiveness of network deployment - the k- means method and the particle swarm method. The solution ...
Added: May 19, 2023
Hernandez J., Gomez E., Grageda J. et al., Journal of Physics: Conference Series 2017 Vol. 792 P. 1–5
Nowadays, genetic algorithms stand out for airfoil optimisation, due to the virtues of mutation and crossing-over techniques. In this work we propose a genetic algorithm with arithmetic crossover rules. The optimisation criteria are taken to be the maximisation of both aerodynamic efficiency and lift coefficient, while minimising drag coefficient. Such algorithm shows greatly improvements in ...
Added: January 20, 2023
Fuzzy Programming Approach to a Multi-Objective Fuzzy Stochastic Routing and Siting Hazardous Wastes
Dutta S., Transportation Management 2020 Vol. 3 No. 1 P. 1–24
The aim of the research article is not only to propose a solution procedure to solve multi-objective fuzzy stochastic programming problem by using genetic-algorithm-based fuzzy programming method, but also to apply the computational techniques for transportation of the hazardous waste materials. In this article, routing and siting problems for nuclear hazardous waste material are studied and solved. ...
Added: January 11, 2022
Dutta S., Applied Soft Computing Journal 2018 Vol. 62 P. 867 –891
This paper is concerned with portfolio selection problem using a fuzzy stochastic price scenario. In this scenario, a ratio factor (k) is calculated from the historical data to generated the future price of the stocks of Bombay Stock Exchange. The ratio factor k of different stocks are treated as a fuzzy numbers, which in turn gives future ...
Added: January 11, 2022
Evsyutin O., Melman A., Abd El-Latif A., , in: Security and Privacy Preserving for IoT and 5G Networks: Techniques, Challenges, and New Directions.: Springer, 2022. Ch. 5 P. 81–115.
Cyber-physical systems are one of the key technological trends in the modern world. However, their use is associated with the need to counter a variety of cyber threats. This review is devoted to information hiding methods and algorithms designed to ensure security in cyber physical systems. This application of embedding methods is fairly new, but ...
Added: October 12, 2021
Azarov A., Suvorova A., Koroleva M. et al., , in: International Symposium on Computer Science, Digital Economy and Intelligent Systems, CSDEIS 2019Vol. 1127: Advances in Intelligent Systems, Computer Science and Digital Economics.: Springer, 2020. P. 299–306.
Added: September 30, 2021
Yasnitsky L., Gladky S., Mathematics and Statistics 2020 Vol. 8 No. 3 P. 323–333
Abstract One of the main problems in modern mathematical modeling is to obtain high-precision solutions of boundary value problems. This study proposes a new approach that combines the methods of artificial intelligence and a classical analytical method. The use of the analytical method of fictitious canonic regions is proposed as the basis for obtaining reliable ...
Added: November 28, 2020
Yasnitsky L., Гладкий С. Л., Нейрокомпьютеры: разработка, применение 2019 Т. 21 № 2 С. 16–31
The history of evolution of methods for solving boundary value problems of solid mechanics is traced, the comparative analysis of methods from the point of view of reliability of the obtained solutions is carried out. An attempt is made to develop the method of fictitious canonical domains by applying the technology of genetic algorithms. On ...
Added: November 15, 2019
Bukharov O., Bogolyubov D., Приборы и системы. Управление, контроль, диагностика 2018 № 1 С. 25–33
In this paper author suggests a new hybrid decision support system for operation with a class of semistructured tasks with underdetermined variables. Author defined the general tasks of prediction and estimation for a class of semistructured tasks. Use of interval neural networks and genetic algorithms for such tasks is justified. Author developed the algorithm to ...
Added: February 9, 2018
MacInnes W., Neural Computation 2017 No. 29(3) P. 804–824
Cuing a location in space produces a short-lived advantage in time. This early advantage, however, switches to a reaction time and has been termed inhibition of return (IOR). IOR behaves differently for different response modalities, suggesting that it may not be a unified effect. Ion with random, continuous cue-target Euclidean distance and cue-target onset asynchrony. ...
Added: September 20, 2016
Demidovskij A., Babkina T. S., Babkin E., , in: Advances in Intelligent Systems and Computing Proceedings of the Fifth International Conference on Fuzzy and Neuro Computing (FANCCO - 2015)Vol. 415.: Switzerland: Springer, 2015. P. 323–336.
In this paper we observe the opportunity to offer new methods of solving NP-hard problems which frequently arise in the domain of information management, including design of database structures and big data processing. In our research we are focusing on the Maximum Clique Problem (MCP) and propose a new approach to solving that problem. The ...
Added: February 14, 2016
Cinar D., Oliveira J. A., Topcu Y. I. et al., Journal of Industrial and Management Optimization 2016 Vol. 12 No. 4 P. 1391–1415
In this study, a genetic algorithm (GA) with priority-based representation is proposed for a flexible job shop scheduling problem (FJSP) which is one of the hardest operations research problems. Investigating the effect of the proposed representation schema on FJSP is the main contribution to the literature. The priority of each operation is represented by a ...
Added: January 16, 2016
Luparov A., Panov A. I., Suvorov R. et al., , in: Proceedings of ICPRAM 2015 - 4th International Conference on Pattern Recognition Applications and MethodsVol. 2.: SciTePress, 2015. P. 270–276.
Dendritic cells (DCs) vaccination is a promising way to contend cancer metastases especially in the case of immunogenic tumors. Unfortunately, it is only rarely possible to achieve a satisfactory clinical outcome in the majority of patients treated with a particular DC vaccine. Apparently, DC vaccination can be successful with certain combinations of features of the ...
Added: November 20, 2015