SF-FWA: A Self-Adaptive Fast Fireworks Algorithm for effective large-scale optimization

Maiyue Chen, Ying Tan

Abstract: Highlights•A self-adaptive and computationally efficient algorithm for large-scale optimization.•Explicit separability exploitation while keeping the ability to deal with rotations.•State-of-the-art performance on standard large-scale optimization benchmark.•Superior performance on optimizing neural networks for reinforcement learning.