Peng Yang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 40

Top Topics

Estimation Of Distribution Algorithms

Reinforcement Learning

Evolutionary Algorithm

Negatively Correlated

Top Venues

IEEE Trans. Evol. Comput.

Swarm Evol. Comput.

Publications

Dongbin Jiao, Zihao Wang, Wen Fan, Weibo Yang, Peng Yang, Zhanhuan Shang, Shi Yan
A UAV-Enabled Time-Sensitive Data Collection Scheme for Grassland Monitoring Edge Networks. CoRR (2024)
Dongbin Jiao, Lingyu Wang, Peng Yang, Weibo Yang, Yu Peng, Zhanhuan Shang, Fengyuan Ren
Unmanned Aerial Vehicle-enabled grassland restoration with energy-sensitive of trajectory design and restoration areas allocation via a cooperative memetic algorithm. Eng. Appl. Artif. Intell. 133 (2024)
Yongfan Lu, Zixiang Di, Bingdong Li, Shengcai Liu, Hong Qian, Peng Yang, Ke Tang, Aimin Zhou
Towards Geometry-Aware Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization. CoRR (2024)
Bingdong Li, Zixiang Di, Yanting Yang, Hong Qian, Peng Yang, Hao Hao, Ke Tang, Aimin Zhou
It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization. CoRR (2024)
Bingdong Li, Zixiang Di, Yongfan Lu, Hong Qian, Feng Wang, Peng Yang, Ke Tang, Aimin Zhou
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models. CoRR (2024)
Bingdong Li, Yongfan Lu, Hong Qian, Wenjing Hong, Peng Yang, Aimin Zhou
Regularity model based offspring generation in surrogate-assisted evolutionary algorithms for expensive multi-objective optimization. Swarm Evol. Comput. 86 (2024)
Guiying Li, Peng Yang, Chao Qian, Richang Hong, Ke Tang
Stage-Wise Magnitude-Based Pruning for Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Yongfan Lu, Bingdong Li, Hong Qian, Wenjing Hong, Peng Yang, Aimin Zhou
RM-SAEA: Regularity Model Based Surrogate-Assisted Evolutionary Algorithms for Expensive Multi-Objective Optimization. GECCO (2023)
Jinghui Zhong, Tiantian Cheng, Wei-Li Liu, Peng Yang, Ying Lin, Jun Zhang
An Evolutionary Guardrail Layout Design Framework for Crowd Control in Subway Stations. IEEE Trans. Comput. Soc. Syst. 10 (1) (2023)
Wenjie Chen, Wenjing Hong, Hu Zhang, Peng Yang, Ke Tang
Multi-Fidelity Simulation Modeling for Discrete Event Simulation: An Optimization Perspective. IEEE Trans Autom. Sci. Eng. 20 (2) (2023)
Peng Yang, Laoming Zhang, Haifeng Liu, Guiying Li
Reducing Idleness in Financial Cloud via Multi-objective Evolutionary Reinforcement Learning based Load Balancer. CoRR (2023)
Dongbin Jiao, Lingyu Wanga, Peng Yang, Weibo Yang, Yu Peng, Zhanhuan Shang, Ke Tang, Fengyuan Ren
Near-Optimal Trajectory Design and Restoration Areas Allocation for UAV-Enabled Grassland Restoration. CoRR (2022)
Haoquan Li, Laoming Zhang, Daoan Zhang, Lang Fu, Peng Yang, Jianguo Zhang
TransVLAD: Focusing on Locally Aggregated Descriptors for Few-Shot Learning. ECCV (20) (2022)
Jianqi Cao, Guiying Li, Peng Yang
Reinforcement Learning Based Vertical Scaling for Hybrid Deployment in Cloud Computing. BIC-TA (2022)
Wenxing Lan, Ziyuan Ye, Peijun Ruan, Jialin Liu, Peng Yang, Xin Yao
Region-Focused Memetic Algorithms With Smart Initialization for Real-World Large-Scale Waste Collection Problems. IEEE Trans. Evol. Comput. 26 (4) (2022)
Peng Yang, Hu Zhang, Yanglong Yu, Mingjia Li, Ke Tang
Evolutionary reinforcement learning via cooperative coevolutionary negatively correlated search. Swarm Evol. Comput. 68 (2022)
Lan Tang, Xiaxi Li, Jinyuan Zhang, Guiying Li, Peng Yang, Ke Tang
Enabling Surrogate-Assisted Evolutionary Reinforcement Learning via Policy Embedding. BIC-TA (2022)
Qi Yang, Peng Yang, Ke Tang
Parallel Random Embedding with Negatively Correlated Search. ICSI (2) (2021)
Peng Yang, Qi Yang, Ke Tang, Xin Yao
Parallel exploration via negatively correlated search. Frontiers Comput. Sci. 15 (5) (2021)
Ke Tang, Shengcai Liu, Peng Yang, Xin Yao
Few-Shots Parallel Algorithm Portfolio Construction via Co-Evolution. IEEE Trans. Evol. Comput. 25 (3) (2021)
Minshi Chen, Jianxun Chen, Peng Yang, Shengcai Liu, Ke Tang
A heuristic repair method for dial-a-ride problem in intracity logistic based on neighborhood shrinking. Multim. Tools Appl. 80 (20) (2021)
Wenjing Hong, Peng Yang, Ke Tang
Evolutionary Computation for Large-scale Multi-objective Optimization: A Decade of Progresses. Int. J. Autom. Comput. 18 (2) (2021)
Chengbin Hou, Guoji Fu, Peng Yang, Shan He, Ke Tang
Robust Dynamic Network Embedding via Ensembles. CoRR (2021)
Qi Yang, Peng Yang, Ke Tang
Active Reinforcement Learning over MDPs. CoRR (2021)
Wenjing Hong, Peng Yang, Yiwen Wang, Ke Tang
Multi-objective Magnitude-Based Pruning for Latency-Aware Deep Neural Network Compression. PPSN (1) (2020)
Hu Zhang, Peng Yang, Yanglong Yu, Mingjia Li, Ke Tang
Evolutionary Reinforcement Learning via Cooperative Coevolutionary Negatively Correlated Search. CoRR (2020)
Ke Tang, Shengcai Liu, Peng Yang, Xin Yao
Few-shots Parameter Tuning via Co-evolution. CoRR (2020)
Dongbin Jiao, Peng Yang, Liqun Fu, Liangjun Ke, Ke Tang
Optimal Energy-Delay Scheduling for Energy-Harvesting WSNs With Interference Channel via Negatively Correlated Search. IEEE Internet Things J. 7 (3) (2020)
Peng Yang, Ke Tang, Xin Yao
Negatively Correlated Search as a Parallel Exploration Search Strategy. CoRR (2019)
Yunwen Lei, Peng Yang, Ke Tang, Ding-Xuan Zhou
Optimal Stochastic and Online Learning with Individual Iterates. NeurIPS (2019)
Dongbin Jiao, Peng Yang, Liqun Fu, Liangjun Ke, Ke Tang
Optimal Energy-Delay Scheduling for Energy Harvesting WSNs via Negatively Correlated Search. ICC (2019)
Peng Yang, Ke Tang, Xin Yao
A Parallel Divide-and-Conquer-Based Evolutionary Algorithm for Large-Scale Optimization. IEEE Access 7 (2019)
Er Zhuo, Yunjie Deng, Zhewei Su, Peng Yang, Bo Yuan, Xin Yao
An Experimental Study of Large-scale Capacitated Vehicle Routing Problems. CEC (2019)
Dongjun Qian, Peng Yang, Ke Tang
A Fast Heuristic Path Computation Algorithm for the Batch Bandwidth Constrained Routing Problem in SDN. PRICAI (1) (2018)
Peng Yang, Ke Tang, Xin Yao
A Parallel Divide-and-Conquer based Evolutionary Algorithm for Large-scale Optimization. CoRR (2018)
Peng Yang, Ke Tang, Xin Yao
Turning High-Dimensional Optimization Into Computationally Expensive Optimization. IEEE Trans. Evol. Comput. 22 (1) (2018)
Jinhong Zhong, Peng Yang, Ke Tang
A Quality-Sensitive Method for Learning from Crowds. IEEE Trans. Knowl. Data Eng. 29 (12) (2017)
Peng Yang, Ke Tang, Xin Yao
High-dimensional Black-box Optimization via Divide and Approximate Conquer. CoRR (2016)
Ke Tang, Peng Yang, Xin Yao
Negatively Correlated Search. IEEE J. Sel. Areas Commun. 34 (3) (2016)
Peng Yang, Guanzhou Lu, Ke Tang, Xin Yao
A multi-modal optimization approach to single path planning for unmanned aerial vehicle. CEC (2016)
Peng Yang, Ke Tang, Xiaofen Lu
Improving Estimation of Distribution Algorithm on Multimodal Problems by Detecting Promising Areas. IEEE Trans. Cybern. 45 (8) (2015)
Wenjing Hong, Guanzhou Lu, Peng Yang, Yong Wang, Ke Tang
A new Evolutionary multi-objective algorithm for Convex Hull Maximization. CEC (2015)
Ke Tang, Peng Yang, Xin Yao
Negatively Correlated Cooperative Search. CoRR (2015)
Peng Yang, Ke Tang, José Antonio Lozano, Xianbin Cao
Path Planning for Single Unmanned Aerial Vehicle by Separately Evolving Waypoints. IEEE Trans. Robotics 31 (5) (2015)
Peng Yang, Ke Tang, José Antonio Lozano
Estimation of Distribution Algorithms based Unmanned Aerial Vehicle path planner using a new coordinate system. IEEE Congress on Evolutionary Computation (2014)