Informatics and Applications

2026, Volume 20, Issue 2, pp 50-62

MULTISTEP ADAPTIVE OPTIMIZATION ALGORITHM WITH PREDICTION AND ITS APPLICATION TO OPTIMAL CONTROL OF DYNAMIC SYSTEMS

  • A. V. Panteleev
  • E. A. Khvoshnyanskaya

Abstract

The paper is devoted to the development and application of metaheuristic optimization algorithms to solve optimal control problems for continuous and discrete dynamic systems. A search strategy and an algorithm for finding the extremum of a multivariable function under interval constraints are described. The search procedure leverages concepts from metaheuristic optimization algorithms regarding dynamic modifications of the search space, alongside accelerated algorithms based on prediction and the incorporation of successful solution memory obtained during the exploration of the feasible solution set. The efficiency of the proposed method is demonstrated through examples of solving optimal open-loop control problems forboth continuous and discrete dynamic systems.
In the latter case, the control problems for an individual trajectory, a bundle of trajectories under initial condition uncertainties, and a family of trajectories of a stochastic system are considered. The problems of parametric optimization of technical systems, including a tension/compression spring, a three-bar truss, and a tubular column, are solved. The presented numerical results are accompanied by recommendations for tuning the hyperparameters of the proposed optimization method.

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