Development of Metaheuristic Interval Minimization Methods for Optimal Program Control Design

Autor:	Andrei V. Panteleev, Valentin Panovskiy
Rok vydání:	2019
Předmět:	Mathematical optimization Nonlinear system Development (topology) Control and Systems Engineering Computer science Path (graph theory) Constrained optimization Interval (mathematics) Minification Electrical and Electronic Engineering Grid Metaheuristic
Zdroj:	Automation and Remote Control. 80:334-347
ISSN:	1608-3032 0005-1179
DOI:	10.1134/s0005117919020115
Popis:	This paper proposes metaheuristic interval methods of global constrained optimization and their software implementation. Three methods are considered: average path endings, stochastic grid, and interval scatter search. The methods are applied to optimal program control design for nonlinear deterministic discrete and continuous systems. As an application the problem of three-dimensional interception is solved and a comparative analysis of efficiency is presented.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e720034fd5e02b33404f469c38ac1510 https://doi.org/10.1134/s0005117919020115 Zobrazit plný text záznamu Plný text ve formátu PDF