Qingxia Shang

According to our database, Qingxia Shang authored at least 18 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

An estimation of distribution algorithm-based hyper-heuristic for the blocking flowshop group scheduling problem.

Sen Zhang, Bin Qian, Rong Hu, Zi-Qi Zhang, Qingxia Shang, Zuocheng Li, Ling Wang

Memetic Comput., September, 2025

A multi-stage competitive swarm optimization algorithm for solving large-scale multi-objective optimization problems.

Qingxia Shang, Minzhong Tan, Rong Hu, Yuxiao Huang, Bin Qian, Liang Feng

Expert Syst. Appl., 2025

Spatial decomposition-based iterative greedy algorithm for the multi-resource constrained re-entrant hybrid flow shop scheduling problem in semiconductor wafer fabrication.

Feng-Shun Zhou, Rong Hu, Bin Qian, Qingxia Shang, Yuan-yuan Yang, Jian-Bo Yang

Comput. Ind. Eng., 2025

Adaptive Evolutionary Multitasking with Pyramid Matching Kernel Strategy for Solving the Green Two-Echelon Vehicle Routing Problem.

Nannan Zuo, Rong Hu, Qingxia Shang, Yuxiao Huang, Bin Qian

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Heuristic Algorithm with Graph Transformer Network for Solving Dynamic Electric Vehicle Routing Problem.

Hongyu Zhang, Bin Qian, Rong Hu, Qingxia Shang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Multi-agent Deep Q-Learning Algorithm Integrated with Ant Colony Optimization for Solving Dynamic Feeder Vehicle Routing Problem.

Yuan-ji Ming, Qingxia Shang, Bin Qian, Rong Hu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Muti-space Hybrid Algorithm for Solving Sparse Large-Scale Multi-objective Optimization Problems.

Zhi-Chao Liu, Qingxia Shang, Bin Qian, Rong Hu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024

A Hybrid Ant Colony Optimization Algorithm for Green Two-Echelon Multi-compartment Vehicle Routing Problem with Time Windows.

Zhi-Cheng Wang, Ning Guo, Rong Hu, Bin Qian, Qingxia Shang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Enhanced Interactive Ant Colony Algorithm for Solving Multi-objective Distributed Flow Shop Production and Time-Dependent Multi-compartment Vehicle Routing Integrated Optimization Problem.

Chao Song, Ning Guo, Bin Qian, Rong Hu, Qingxia Shang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

A Branch and Price Heuristic Algorithm for the Vehicle Routing Problem with Time Windows.

Shu Qian, Rong Hu, Bin Qian, Nai-Kang Yu, Qingxia Shang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023

Multispace Evolutionary Search for Large-Scale Optimization With Applications to Recommender Systems.

Liang Feng, Qingxia Shang, Yaqing Hou, Kay Chen Tan, Yew-Soon Ong

IEEE Trans. Artif. Intell., February, 2023

Improved Particle Swarm Optimization Algorithm Combined with Reinforcement Learning for Solving Flexible Job Shop Scheduling Problem.

Yi-Jie Gao, Qingxia Shang, Yuan-Yuan Yang, Rong Hu, Bin Qian

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

ADMM with SUSLM for Electric Vehicle Routing Problem with Simultaneous Pickup and Delivery and Time Windows.

Fei-Long Feng, Bin Qian, Rong Hu, Nai-Kang Yu, Qingxia Shang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022

Multi-space evolutionary search with dynamic resource allocation strategy for large-scale optimization.

Qingxia Shang, Yuxiao Huang, Junwei Dong, Yaqing Hou, Yu Wang, Min Li, Liang Feng

Neural Comput. Appl., 2022

Solving vehicle routing problem by memetic search with evolutionary multitasking.

Qingxia Shang, Yuxiao Huang, Yu Wang, Min Li, Liang Feng

Memetic Comput., 2022

2021

Multi-Space Evolutionary Search for Large-Scale Optimization.

Liang Feng, Qingxia Shang, Yaqing Hou, Kay Chen Tan, Yew-Soon Ong

CoRR, 2021

2019

Dual-Band Wi-Fi Based Indoor Localization via Stacked Denosing Autoencoder.

Hao Zhang, Kai Liu, Qingxia Shang, Liang Feng, Chao Chen, Zhou Wu, Songtao Guo

Proceedings of the 2019 IEEE Global Communications Conference, 2019

A Preliminary Study of Adaptive Task Selection in Explicit Evolutionary Many-Tasking.

Qingxia Shang, L. Zhang, Liang Feng, Yaqing Hou, J. Zhong, Abhishek Gupta, Kay Chen Tan, H.-L. Liu

Proceedings of the IEEE Congress on Evolutionary Computation, 2019