multicriteria optimization
Recently Published Documents


TOTAL DOCUMENTS

565
(FIVE YEARS 110)

H-INDEX

40
(FIVE YEARS 4)

Author(s):  
О. V. Bulygina

Today the knowledge–intensive industry development is carried out by the programs that combine a set of innovation and investment projects aimed at achieving a single goal and implemented in general constraints. The presence of a larger number of project characteristics (in particular, terms, resources, performers, etc.), which must be taken into account when forming the composition of the program, leads to the formulation of the problem of multicriteria optimization. As its solution, it is proposed to use an algorithm of bacterial optimization, supplemented by a procedure for forming initial positions using fuzzy logic methods.


2021 ◽  
Vol 34 (06) ◽  
pp. 1677-1688
Author(s):  
Valeriy Borisovich Vilkov ◽  
Andrey Klimentevich Chernykh ◽  
Igor Gennadevich Malygin ◽  
Yuriy Dmitrievich Motorygin ◽  
Alexandr Vladimirovich Skripka

The problem of multicriteria optimization in relation to the decisions made about organizing the material and technical support for equipment and personnel of the Ministry of the Russian Federation for Civil Defence, Emergencies and Elimination of Consequences of Natural Disasters (EMERCOM of Russia) in the context of emergency response on transport has been explored in this article. The existing approaches have been indicated, and another approach to building a single generalized criterion by the given partial criteria for the multicriteria optimization problem has been proposed. The verbal statement of the considered problem of multicriteria optimization has been provided. The goal of the study is to develop a method for solving this multicriteria optimization problem using fuzzy sets, fuzzy logic, and the Mamdani's fuzzy inference algorithm. A substantial example has been provided, illustrating the application of the stated theoretical provisions for solving the problem of choosing the best option for the equipment and personnel of the EMERCOM of Russia to liquidate the consequences of emergency situations on transport. In terms of novelty, it must be noted that the indicator (output variable) and parameters (input variables) of the problem have been defined ambiguously, fuzzily, which allows to use the efficient mathematical tools of the theory of fuzzy sets, fuzzy logic, and the Mamdani's fuzzy inference algorithm to solve this problem.


2021 ◽  
pp. 336-343
Author(s):  
Н.Л. Студенникова ◽  
З.В. Котоловець

В статье представлены данные по 11 биолого-хозяйственным признакам 100 маточных кустов винограда сорта Кокур белый за 2019-2021 гг. Исследования проводились на производственном участке сорта винограда Кокур белый (№ 361, формировка АЗОС-1, схема посадки 3×1,25) в филиале «Алушта» АО «ПАО «Массандра». По средним показателям за три года исследований методом многокритериальной оптимизации отобраны 25 протоклонов сорта Кокур белый (протоклоны первого вегетативного поколения) с наименьшими показателями функции в диапазоне от φ=3,330 до φ=6,103. Выбор лучшего куста определялся из условий наибольшего приближения к идеалу, т.е. интервал [φ(xi); xu]→min. Следовательно, чем меньше значение функции протоклона φ(xi), тем лучше куст. Значения целевых функций сравнивались у 100 кустов, затем отбирались протоклоны по наименьшим показателям, определяющим лучшие кусты. Применение метода многокритериальной оптимизации обеспечивает объективный подход при отборе протоклонов, исключая единицы измерения изучаемых признаков, преобразуя их в безразмерный вид. Для дальнейшего исследования с выделенных 25 кустов винограда сорта Кокур белый будет проведена заготовка лозы для проведения настольной прививки с последующей закладкой клоноиспытательного участка первого вегетативного поколения сорта Кокур белый. The article presents data on 11 biological and economical traits of 100 mother vines of the ‘Kokur Belyi’ for the period of 2019-2021. The research was carried out at the production plot of the ‘Kokur Belyi’ grape variety (No. 361, AZOS-1 pruning, planting scheme 3 × 1.25) in the Alushta branch of FSUE PJSC Massandra. According to the average of indicators for three years of research using method of multicriteria optimization, we selected 25 protoclones of the ‘Kokur Belyi’ variety (protoclones of the first vegetative voltine) with the lowest function indicators in the range from φ = 3.330 to φ = 6.103. The choice of the best bush was determined from the conditions of the closest approximation to the ideal, i.e. interval [φ(x); x]→min. Therefore, the smaller the value of the protoclone function φ(x), the better the bush. Target function values for 100 bushes were compared, after that protoclones were separated by the lowest indicators, determining the best bushes. The use of multicriteria optimization method provides an objective approach to the selection of protoclones, excluding the units of measurement of the studied characteristics, converting them into a nondimensional form. For further research, from the selected 25 bushes of grapes of the ‘Kokur Belyi’ variety, vines will be gathered for table grafting, followed by the establishment of a clone-testing plot of the first vegetative voltine of the ‘Kokur Belyi’ variety.


2021 ◽  
Vol 44 ◽  
pp. 103242
Author(s):  
J. Gonzalez-Ayala ◽  
D. Salomone-González ◽  
A. Medina ◽  
J.M.M. Roco ◽  
P.L. Curto-Risso ◽  
...  

Mathematics ◽  
2021 ◽  
Vol 9 (22) ◽  
pp. 2854
Author(s):  
Sergey Misyurin ◽  
German Kreynin ◽  
Andrey Nelyubin ◽  
Natalia Nosova

The problem of multicriteria optimization of a dynamic model is solved using the methods of the similarity theory and the criteria importance theory. The authors propose the original model of a positional system with two hydraulic actuators, synchronously moving a heavy object with a given accuracy. In order to reduce the number of optimizing parameters, the mathematical model of the system is presented in a dimensionless form. Three dimensionless optimization criteria that characterize the accuracy, size, and quality of the dynamic positioning process are considered. It is shown that the application of the criteria importance method significantly reduces the Pareto set (the set of the best solutions). This opens up the possibility of reducing many optimal solutions to one solution, which greatly facilitates the choice of parameters when designing a mechanical object.


Author(s):  
Aung Naing Lin ◽  
O.V. Tatarnikov ◽  
Aung Phyo Wai

The article considers the results of multicriteria optimization of the unmanned aircraft composite wing. Minimum deflection, mass and normal stresses acting along the reinforcement directions are taken as optimization criteria. The thicknesses of the load-bearing frame elements and wing skin elements were selected as optimization parameters for three types of composites: carbon fiber reinforced plastic (CFRP) based on unidirectional carbon layers, CFRP based on carbon fabric layers, and fiberglass laminate based on E-glass fiberglass. A checking calculation of the optimal composite wing stability was performed using a geometrically nonlinear model. The calculation of the stress-strain state of the wing was performed using an anisotropic linear elastic material model. Calculations were carried out using finite element software packages ANSYS and FEMAP.


Sign in / Sign up

Export Citation Format

Share Document