44 citations · 96 across the 12 of their papers we have counts for
12 papers
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…
Benchmark Functions for CEC 2022 Competition on Seeking Multiple Optima in Dynamic Environments
Wenjian Luo, Xin Lin, Changhe Li +2
Dynamic and multimodal features are two important properties and widely existed in many real-world optimization problems. The former illustrates that the objectives and/or constrai…
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…
ImGAGN:Imbalanced Network Embedding via Generative Adversarial Graph Networks
Liang Qu, Huaisheng Zhu, Ruiqi Zheng +2
Imbalanced classification on graphs is ubiquitous yet challenging in many real-world applications, such as fraudulent node detection. Recently, graph neural networks (GNNs) have sh…
Adaptive Coordinated Motion Control for Swarm Robotics Based on Brain Storm Optimization
Jian Yang, Yuhui Shi
Coordinated motion control in swarm robotics aims to ensure the coherence of members in space, i.e., the robots in a swarm perform coordinated movements to maintain spatial structu…
Robotic Brain Storm Optimization: A Multi-target Collaborative Searching Paradigm for Swarm Robotics
Jian Yang, Yuhui Shi
Swarm intelligence optimization algorithms can be adopted in swarm robotics for target searching tasks in a 2-D or 3-D space by treating the target signal strength as fitness value…
Attention-oriented Brain Storm Optimization for Multimodal Optimization Problems
Jian Yang, Yuhui Shi
Population-based methods are often used to solve multimodal optimization problems. By combining niching or clustering strategy, the state-of-the-art approaches generally divide the…
EEG-based Drowsiness Estimation for Driving Safety using Deep Q-Learning
Yurui Ming, Dongrui Wu, Yu-Kai Wang +2
Fatigue is the most vital factor of road fatalities and one manifestation of fatigue during driving is drowsiness. In this paper, we propose using deep Q-learning to analyze an ele…
Cooperative coevolution of real predator robots and virtual robots in the pursuit domain
Lijun Sun, Chao Lyu, Yuhui Shi
The pursuit domain, or predator-prey problem is a standard testbed for the study of coordination techniques. In spite that its problem setup is apparently simple, it is challenging…
Student's t Distribution based Estimation of Distribution Algorithms for Derivative-free Global Optimization
Bin Liu, Shi Cheng, Yuhui Shi
In this paper, we are concerned with a branch of evolutionary algorithms termed estimation of distribution (EDA), which has been successfully used to tackle derivative-free global…
Random Drift Particle Swarm Optimization
Jun Sun, Xiaojun Wu, Vasile Palade +2
The random drift particle swarm optimization (RDPSO) algorithm, inspired by the free electron model in metal conductors placed in an external electric field, is presented, systemat…