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Evolving aerodynamic airfoils for wind turbines through a genetic algorithm
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 computational costs, as well as a high performance by obtaining optimised airfoils for Mexico City’s specific wind conditions from generic wind turbines designed for higher Reynolds numbers, in few iterations.
Shalimova E., Klimina L. A., Lin K. -., Technische Mechanik 2017 Vol. 37 No. 2-5 P. 394-399
The mathematical model of a double disk horizontal axis wind turbine is constructed. The turbine has two propellers (actuator disks). One propeller is rigidly connected to a carrier of a planet gear, the other is rigidly connected to an external ring of the same planet gear. A rotor of an electrical generator is rigidly connected ...
Added: November 3, 2018
Achitaev A., Suvorov A., Ilyushin P. et al., International Journal of Hydrogen Energy 2024 Vol. 51 No. D P. 137-159
Energy resources based on green hydrogen are nowadays beginning to enjoy wide adoption and draw considerable interest. There are different types of hydrogen production, but it is green hydrogen that is becoming an attractive energy development capable of replacing blue and grey hydrogen as well as fossil fuels, Thereby the carbon footprint will be reduced ...
Added: August 27, 2023
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
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
Luparov A., Panov A. I., Suvorov R. et al., , in : Proceedings of ICPRAM 2015 - 4th International Conference on Pattern Recognition Applications and Methods. Vol. 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
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
Anna Melman, Oleg Evsutin, , in : 2021 XVII International Symposium "Problems of Redundancy in Information and Control Systems" (REDUNDANCY). : IEEE, 2021. P. 49-54.
Added: November 12, 2021
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
Azarov A., Suvorova A., Koroleva M. et al., , in : International Symposium on Computer Science, Digital Economy and Intelligent Systems, CSDEIS 2019. Vol. 1127: Advances in Intelligent Systems, Computer Science and Digital Economics.: Springer, 2020. P. 299-306.
Added: September 30, 2021
Ачитаев А. А., Суворов А. А., Илюшин П. В. et al., Международный научный журнал Альтернативная энергетика и экология 2023 № 3 С. 30-48
Energy resources based on green hydrogen are nowadays beginning to enjoy wide adoption and draw considerable interest. There are different types of hydrogen production, but it is green hydrogen that is becoming an attractive energy development capable of replacing blue and grey hydrogen as well as fossil fuels, Thereby the carbon footprint will be reduced ...
Added: August 27, 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
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