An Application of Genetic Algorithms with Binary and Real Coding for Approximate Synthesis of Suboptimal Control in Deterministic Systems

摘要

We propose a solution for the suboptimal control synthesis problem in deterministic systems with genetic algorithms that look for a conditional global extremum with binary and real coding. We construct an algorithm for solving this problem; this algorithm has been implemented in software. We show examples of specific applications and perform a comparison of these results with other methods; the comparison proves the efficiency of our algorithms.