December 4, 2025AppliedMathOpen Access

Solving Multi-Objective Optimal Control Problems Using a Hybrid Method of Genetic Algorithm and Simple Cell Mapping

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Combined genetic algorithm and simple cell mapping improves solution quality in optimal control problems, indicating enhanced algorithm efficiency.

The proposed hybrid method achieved superior efficiency in solving optimal control problems, enhancing solution quality.
Results indicated significant improvement in the distribution of solutions across the Pareto front, promoting better diversity.
Evaluation involved performance indicators like generational distance and diversity metrics across benchmark problems.
The algorithm efficiently coordinated multiple design objectives, suggesting potential for broader applications in control systems.

Gholam Hosein Askarirobati (2025) studied this question.

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Combined genetic algorithm and simple cell mapping improves solution quality in optimal control problems, indicating enhanced algorithm efficiency.