Adaptive Fuzzy Fitness Granulation (AFFG)
AFFG is an effective strategy for improving evolutionary algorithms by leveraging fuzzy logic to optimize the trade-off between computational cost and solution accuracy..
Feb 1, 2024
Expanded Summary of Adaptive Fuzzy Fitness Granulation
Adaptive Fuzzy Fitness Granulation (AFFG) provides a powerful enhancement to evolutionary algorithms by leveraging fuzzy logic to control the precision of fitness evaluations dynamically. By balancing exploration and exploitation, reducing computational costs, and improving robustness against noisy evaluations, AFFG proves to be a valuable tool for solving complex optimization problems across various domains.
Sep 1, 2015