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

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.