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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Hybrid method demonstrates superior efficiency and uniform solution distribution in optimal control, indicating improved performance indicators.

The proposed hybrid method achieves improved efficiency while maintaining a uniform distribution along the Pareto front.
Key performance indicators, such as generational distance, were utilized to evaluate algorithm efficiency and diversity.
Random search initiates the method, followed by a focused neighborhood search using simple cell mapping for refinement.
Findings imply significant advancements in solving complex multi-objective optimal control problems.

Gholam Hosein Askarirobati (2025) studied this question.

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Hybrid method demonstrates superior efficiency and uniform solution distribution in optimal control, indicating improved performance indicators.