ILECD: Improved Large-scale Evolutionary algorithm with Contribution mechanism and Dynamic adjustment strategy

Puntos clave

• Performance optimization is achieved through an innovative contribution mechanism that adapts dynamically to the problem space.
• The dynamic adjustment strategy may result in higher efficiency rates for large-scale evolutionary algorithms across various applications.
• Observational analysis of algorithmic efficiency showcases significant enhancements in performance compared to traditional methods.
• The findings indicate that better optimization strategies are crucial for adapting algorithms in complex environments.