Development of Metaheuristic Interval Minimization Methods for Optimal Program Control Design

Abstract

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.