Application of the golden section and the Latin hypercube sampling on metaheuristics: A new population initialization approach

Key Points

• The approach enhances population initialization for optimization algorithms, leading to improved performance.
• Key metric: population initialization improved by techniques based on the golden section and latin hypercube sampling.
• Analysis focused on applying advanced sampling methods like latin hypercube sampling within metaheuristic frameworks.
• These findings suggest potential for optimizing algorithm performance in complex problem-solving.