Algorithm Modelization: Transforming Optimization Algorithms into Evolvable Intelligence
The central idea is to regard algorithm execution trajectories as computational experience: by learning how algorithmic states evolve over iterations, a model can internalize the knowledge embodied in existing algorithms, reproduce their computational behaviors, and further evolve beyond them through training.
Jian Yao, Zhi-Yao Zhang, Yi-Chen Li et al.
· 0 citations