Jingfang Chen

Orcid: 0000-0001-8698-2532

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


According to our database1, Jingfang Chen authored at least 24 papers between 2019 and 2026.

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

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

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On csauthors.net:

Bibliography

2026
A multisource data-driven GRU-transformer network for estimating spatial-temporal distribution of ground-level ozone.
Expert Syst. Appl., 2026

2025
A Prior and Posterior Order Postponement Framework for the On-Demand Food Delivery Problem.
IEEE Trans. Intell. Transp. Syst., October, 2025

A Branch-and-Bound Enhanced Cooperative Evolutionary Algorithm for the Hybrid Seru System Scheduling Considering Worker Heterogeneity.
IEEE Trans. Evol. Comput., August, 2025

2024
Order Dispatching Via GNN-Based Optimization Algorithm for On-Demand Food Delivery.
IEEE Trans. Intell. Transp. Syst., October, 2024

A Knowledge-Guided End-to-End Optimization Framework Based on Reinforcement Learning for Flow Shop Scheduling.
IEEE Trans. Ind. Informatics, February, 2024

A reinforcement learning-driven adaptive decomposition algorithm for multi-objective hybrid seru system scheduling considering worker transfer.
Swarm Evol. Comput., 2024

Meituan's Real-Time Intelligent Dispatching Algorithms Build the World's Largest Minute-Level Delivery Network.
INFORMS J. Appl. Anal., 2024

A reinforcement learning driven two-stage evolutionary optimisation for hybrid seru system scheduling with worker transfer.
Int. J. Prod. Res., 2024

Evolutionary computation and reinforcement learning integrated algorithm for distributed heterogeneous flowshop scheduling.
Eng. Appl. Artif. Intell., 2024

2023
A Predictive-Reactive Optimization Framework With Feedback-Based Knowledge Distillation for On-Demand Food Delivery.
IEEE Trans. Intell. Transp. Syst., December, 2023

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

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

A cooperative coevolutionary algorithm with problem-specific knowledge for energy-efficient scheduling in <i>seru</i> system.
Knowl. Based 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

A Novel Evolutionary Algorithm with Adaptation Mechanism for Fuzzy Permutation Flow-Shop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
A Two-stage Algorithm for Fuzzy Online Order Dispatching Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Hybrid Differential Evolution Algorithm for the Online Meal Delivery Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
A collaborative optimization algorithm for energy-efficient multi-objective distributed no-idle flow-shop scheduling.
Swarm Evol. Comput., 2019

A Probability Model-based Memetic Algorithm for Distributed Heterogeneous Flow-Shop Scheduling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019


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