Xing Wang

Affiliations:
  • Tsinghua University, Department of Automation, Beijing, China


According to our database1, Xing Wang authored at least 12 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2023
A Learning-Based Multipopulation Evolutionary Optimization for Flexible Job Shop Scheduling Problem With Finite Transportation Resources.
IEEE Trans. Evol. Comput., December, 2023

An Online Deep Reinforcement Learning-Based Order Recommendation Framework for Rider-Centered Food Delivery System.
IEEE Trans. Intell. Transp. Syst., May, 2023

Recommending-and-Grabbing: A Crowdsourcing-Based Order Allocation Pattern for On-Demand Food Delivery.
IEEE Trans. Intell. Transp. Syst., January, 2023

Solving Stochastic Online Food Delivery Problem via Iterated Greedy Algorithm With Decomposition-Based Strategy.
IEEE Trans. Syst. Man Cybern. Syst., 2023

2022
An Imitation Learning-Enhanced Iterated Matching Algorithm for On-Demand Food Delivery.
IEEE Trans. Intell. Transp. Syst., 2022

Modeling stochastic service time for complex on-demand food delivery.
Complex Intell. Syst., 2022

An effective matching algorithm with adaptive tie-breaking strategy for online food delivery problem.
Complex Intell. Syst., 2022

Dynamic multi-objective balancing for online food delivery via fuzzy logic system-based supply-demand relationship identification.
Comput. Ind. Eng., 2022

2021
An XGBoost-enhanced fast constructive algorithm for food delivery route planning problem.
Comput. Ind. Eng., 2021

Solving Online Food Delivery Problem via an Effective Hybrid Algorithm with Intelligent Batching Strategy.
Proceedings of the Intelligent Computing Theories and Application, 2021

2020
Two Fast Heuristics for Online Order Dispatching.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

An Effective Iterated Greedy Algorithm for Online Route Planning Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020


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