CONSTRUCTION OF A MATHEMATICAL MODEL BASED ON A GENETIC ALGORITHM FOR AN APTITUDE PROGRAM IN HIGH SCHOOL STUDENT OPTIMIZATION

ABSTRACT Introduction: The genetic algorithm is one of the essential theoretical mathematical models for simulating biological development. It widely used in many fields such as engineering, medicine, and economics. Objective: Use a model basis optimization high school students’ aptitude program. Methods: selection method by competition adopted to elect random crossover male probability with similarity generate new population. A was proposed adjust dynamic mutation according fitness, aiming solve problem changes. comparative analysis performed between nonlinear differential equations Levenberg–Marquardt algorithm. Results: improvement obtained after analyzing operation process structuring traditional algorithm; application revealed motion accuracy established Conclusion: physical enhancement scheme tested verified proves research results hold feasibility. Evidence Level II; Therapeutic Studies – Investigating results.