Adaptive Parameter Tuning: Researchers are exploring ways to automatically adjust parameters like mutation rate and crossover probability based on the algorithm’s current state. This adaptive approach can improve efficiency by ensuring the algorithm remains flexible and effective throughout its run. Example: When the algorithm detects that the population is converging too quickly, a... https://generativeaimasters.in