THE EFFICIENCY ANALYSIS OF MULTI-AGENT OPTIMIZATION METHODS OF AIRCRAFT DESIGNS ELEMENTS

The article considers the use of three multi-agent methods for optimizing structural elements of aircraft. The research describes strategies for finding solutions to multi-agent metaheuristic algorithms, such as: fish school search, krill herd, and imperialist competition algorithm. The work of thes...

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Main Authors: A. V. Panteleev, M. S. Karane
Format: Article
Language:Russian
Published: Moscow State Technical University of Civil Aviation 2019-04-01
Series:Научный вестник МГТУ ГА
Subjects:
Online Access:https://avia.mstuca.ru/jour/article/view/1483
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author A. V. Panteleev
M. S. Karane
author_facet A. V. Panteleev
M. S. Karane
author_sort A. V. Panteleev
collection DOAJ
description The article considers the use of three multi-agent methods for optimizing structural elements of aircraft. The research describes strategies for finding solutions to multi-agent metaheuristic algorithms, such as: fish school search, krill herd, and imperialist competition algorithm. The work of these methods is based on the processes occurring in an environment that features many agents. Agents have the opportunity to exchange information in order to find a solution to the problem. These methods allow you to find an approximate solution, but, nevertheless, with great success are used in practice. In this regard, the described metaheuristic algorithms were applied to the optimization problems of structural elements of aircraft such as: welded beam, high pressure vessel, gearbox and tension spring. The article adduces the formulation of these problems: the objective function, a set of constraints and a set of admissible solutions are indicated, recommendations on the choice of parameters of the methods used are given. To solve the problems of optimizing the elements of aircraft construction, a set of software elements was formed in the development environment of Microsoft Visual Studio in C #. This complex of programs allows you to solve the given problems by each of the described multi-agent methods. The software allows you to select a method, a task and select the method parameters and the penalty function coefficients in the best possible way. The results of the solution were compared with each other and with the well- known solution. According to the numerical results of solving these tasks, we can conclude that the algorithmic and software created allow us to find a solution close to the exact one in a reasonable time.
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spelling doaj-art-6d7e8bc5056f4fd5bb6b17f5aa137b822025-08-20T03:00:15ZrusMoscow State Technical University of Civil AviationНаучный вестник МГТУ ГА2079-06192542-01192019-04-012229610810.26467/2079-0619-2019-22-2-96-1081295THE EFFICIENCY ANALYSIS OF MULTI-AGENT OPTIMIZATION METHODS OF AIRCRAFT DESIGNS ELEMENTSA. V. Panteleev0M. S. Karane1Moscow Aviation Institute (National Research University)Moscow Aviation Institute (National Research University)The article considers the use of three multi-agent methods for optimizing structural elements of aircraft. The research describes strategies for finding solutions to multi-agent metaheuristic algorithms, such as: fish school search, krill herd, and imperialist competition algorithm. The work of these methods is based on the processes occurring in an environment that features many agents. Agents have the opportunity to exchange information in order to find a solution to the problem. These methods allow you to find an approximate solution, but, nevertheless, with great success are used in practice. In this regard, the described metaheuristic algorithms were applied to the optimization problems of structural elements of aircraft such as: welded beam, high pressure vessel, gearbox and tension spring. The article adduces the formulation of these problems: the objective function, a set of constraints and a set of admissible solutions are indicated, recommendations on the choice of parameters of the methods used are given. To solve the problems of optimizing the elements of aircraft construction, a set of software elements was formed in the development environment of Microsoft Visual Studio in C #. This complex of programs allows you to solve the given problems by each of the described multi-agent methods. The software allows you to select a method, a task and select the method parameters and the penalty function coefficients in the best possible way. The results of the solution were compared with each other and with the well- known solution. According to the numerical results of solving these tasks, we can conclude that the algorithmic and software created allow us to find a solution close to the exact one in a reasonable time.https://avia.mstuca.ru/jour/article/view/1483global extremummulti-agent optimization methodsmetaheuristic optimization methodsstructural elements of aircraft
spellingShingle A. V. Panteleev
M. S. Karane
THE EFFICIENCY ANALYSIS OF MULTI-AGENT OPTIMIZATION METHODS OF AIRCRAFT DESIGNS ELEMENTS
Научный вестник МГТУ ГА
global extremum
multi-agent optimization methods
metaheuristic optimization methods
structural elements of aircraft
title THE EFFICIENCY ANALYSIS OF MULTI-AGENT OPTIMIZATION METHODS OF AIRCRAFT DESIGNS ELEMENTS
title_full THE EFFICIENCY ANALYSIS OF MULTI-AGENT OPTIMIZATION METHODS OF AIRCRAFT DESIGNS ELEMENTS
title_fullStr THE EFFICIENCY ANALYSIS OF MULTI-AGENT OPTIMIZATION METHODS OF AIRCRAFT DESIGNS ELEMENTS
title_full_unstemmed THE EFFICIENCY ANALYSIS OF MULTI-AGENT OPTIMIZATION METHODS OF AIRCRAFT DESIGNS ELEMENTS
title_short THE EFFICIENCY ANALYSIS OF MULTI-AGENT OPTIMIZATION METHODS OF AIRCRAFT DESIGNS ELEMENTS
title_sort efficiency analysis of multi agent optimization methods of aircraft designs elements
topic global extremum
multi-agent optimization methods
metaheuristic optimization methods
structural elements of aircraft
url https://avia.mstuca.ru/jour/article/view/1483
work_keys_str_mv AT avpanteleev theefficiencyanalysisofmultiagentoptimizationmethodsofaircraftdesignselements
AT mskarane theefficiencyanalysisofmultiagentoptimizationmethodsofaircraftdesignselements
AT avpanteleev efficiencyanalysisofmultiagentoptimizationmethodsofaircraftdesignselements
AT mskarane efficiencyanalysisofmultiagentoptimizationmethodsofaircraftdesignselements