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UBS, 2016, Issue 60, Pages 41–62 (Mi ubs861)  

Analysis and Synthesis of Control Systems

Development of metaheuristic interval minimization methods for the optimal program control synthesis

A. V. Panteleev, V. Panovskiy

Moscow Aviation Institute

Abstract: We propose metaheuristic interval methods of global constrained optimization and their software implementation. Three methods are considered: average path ending, stochastic grid and interval scatter search. The methods are applied to the problem of optimal program control of nonlinear deterministic discrete and continuous systems. The solution of the applied problem of 3-dimensional interception and a brief comparative analysis of the effectiveness are given.

Keywords: interval methods, metaheuristic, global constrained optimization, optimal control.

Full text: PDF file (1049 kB)
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UDC: 519.85 + 517.977.58
BBK: 22.18 + 22.19
Received: October 29, 2015
Published: March 31, 2016

Citation: A. V. Panteleev, V. Panovskiy, “Development of metaheuristic interval minimization methods for the optimal program control synthesis”, UBS, 60 (2016), 41–62

Citation in format AMSBIB
\Bibitem{PanPan16}
\by A.~V.~Panteleev, V.~Panovskiy
\paper Development of metaheuristic interval minimization methods for the optimal program control synthesis
\jour UBS
\yr 2016
\vol 60
\pages 41--62
\mathnet{http://mi.mathnet.ru/ubs861}
\elib{http://elibrary.ru/item.asp?id=26163394}


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