A Meta-Learning-Based Adaptive Hybrid Evolutionary Algorithm for Dynamic Resource Configuration in Regional Industrial Cluster
Dynamic resource configuration in regional industrial clusters is pivotal for unlocking their collective efficiency and ensuring resilience in cyber-physical production systems. However, static optimization methods suffer from a fundamental mismatch against volatile industrial rhythms, lacking the situational awareness...