convergence detection

DYNAMIC MUTATION RATE CONTROL IN GENETIC ALGORITHMS USING CONVERGENCE AND DIVERSITY METRICS

Developed a dynamic mutation rate control strategy using convergence and diversity metrics, which enables the mutation probability to adapt automatically to the current convergence state. The strategy increases the mutation rate when population convergence increases and diversity decreases, thereby promoting exploration and enhancing genetic diversity. When diversity is maintained at a sufficient level, the mutation rate decreases, thereby preventing unnecessary disruption of evolved solutions.