We are the LAMDA-BBO (Black-Box Optimization) group, led by Professor Chao Qian. Our group is a part of LAMDA Group @ Nanjing University, which is led by Professor Zhi-Hua Zhou.
Our research focuses on advancing the theories, algorithms, and applications of black-box optimization. Our key areas of interest include, but are not limited to:
- Theoretical analysis of evolutionary algorithms
- Designing safe evolutionary algorithms, i.e., evolutionary algorithms with provable approximation guarantee
- Designing efficient black-box optimization algorithms, e.g., Bayesian optimization, evolutionary strategies, evolutionary gradient optimization, cooperative coevolution, and learning to optimize
- Evolutionary learning, particularly evolutionary reinforcement learning, deep learning, and ensemble learning
- Applications to solve real-world complex optimziation problems, e.g., in wireless network, electronic design automation, and geoscience
