10 citations · 31 across the 10 of their papers we have counts for
7 papers · 1 filter
Automated Metaheuristic Algorithm Design with Autoregressive Learning
Qi Zhao, Tengfei Liu, Bai Yan +3
Automated design of metaheuristic algorithms offers an attractive avenue to reduce human effort and gain enhanced performance beyond human intuition. Current automated methods desi…
AutoOptLib: Tailoring Metaheuristic Optimizers via Automated Algorithm Design
Qi Zhao, Bai Yan, Taiwei Hu +4
Metaheuristics are prominent gradient-free optimizers for solving hard problems that do not meet the rigorous mathematical assumptions of analytical solvers. The canonical manual o…
Automated Design of Metaheuristic Algorithms: A Survey
Qi Zhao, Qiqi Duan, Bai Yan +2
Metaheuristics have gained great success in academia and practice because their search logic can be applied to any problem with available solution representation, solution quality…
AutoOpt: A General Framework for Automatically Designing Metaheuristic Optimization Algorithms with Diverse Structures
Qi Zhao, Bai Yan, Taiwei Hu +4
Metaheuristics are widely recognized gradient-free solvers to hard problems that do not meet the rigorous mathematical assumptions of conventional solvers. The automated design of…
Hybrid Beamforming for RIS-Aided Communications: Fitness Landscape Analysis and Niching Genetic Algorithm
Bai Yan, Qi Zhao, Jin Zhang +2
Reconfigurable Intelligent Surface (RIS) is a revolutionizing approach to provide cost-effective yet energy-efficient communications. The transmit beamforming of the base station (…
Multiobjective Bilevel Evolutionary Approach for Off-Grid Direction-of-Arrival Estimation
Bai Yan, Qi Zhao, Jin Zhang +2
The source number identification is an essential step in direction-of-arrival (DOA) estimation. Existing methods may provide a wrong source number due to inferior statistical prope…
Evolutionary Robust Clustering Over Time for Temporal Data
Qi Zhao, Bai Yan, Yuhui Shi
In many clustering scenes, data samples' attribute values change over time. For such data, we are often interested in obtaining a partition for each time step and tracking the dyna…