Lijun He
Orcid: 0000-0002-3428-9493Affiliations:
- Wuhan University of Technology, School of Transportation and Logistics Engineering, China (PhD 2022)
According to our database1,
Lijun He authored at least 36 papers
between 2018 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Multi-population multi-objective whale optimization algorithm for energy-efficient job-shop scheduling: incorporating the coupling effect of sequence-dependent setup and start-time-dependent deterioration.
Comput. Appl. Math., October, 2026
Optimally solving multi-objective co-scheduling of lock group and approach channel with dynamic synchronous speeds.
Inf. Sci., 2026
Collaborative optimization of ship scheduling and berth planning in a water-land transshipment mode with water discharge restrictions.
Expert Syst. Appl., 2026
2025
Q-Learning-Based Multi-Objective Heuristic Algorithm for Solving Multi-Resource Co-Scheduling Problem of Ship-Lock-Channel Considering Water Discharge.
IEEE Trans. Intell. Transp. Syst., December, 2025
Many-Objective Computation Offloading in Vehicular Edge Computing Using Bayesian and Incremental Learning Methods.
IEEE Internet Things J., October, 2025
An Efficient Collaborative Task Offloading Approach Based on Multi-Objective Algorithm in MEC-Assisted Vehicular Networks.
IEEE Trans. Veh. Technol., July, 2025
Integrated scheduling in sea-rail intermodal terminals with flexible transshipment routes.
Swarm Evol. Comput., 2025
A niching differential evolution with Hilbert curve for multimodal multi-objective optimization.
Swarm Evol. Comput., 2025
A genetic-operator-integrated whale optimization algorithm for solving the flexible job shop scheduling problem.
J. King Saud Univ. Comput. Inf. Sci., 2025
A deep reinforcement learning based multi-agent simulation optimization approach for IGV bidirectional task allocation and charging joint scheduling in automated container terminals.
Comput. Oper. Res., 2025
Mimo-Inspired Real-Time Scheduling of Port Transport Equipment: a Simulation-Optimization Approach Incorporating Reinforcement Learning.
Proceedings of the 2025 International Conference on Networking, 2025
Data-Driven Bayesian Maximum Entropy Multi-Objective Hyperparameter Optimization for PCNN Image Fusion.
Proceedings of the 21st IEEE International Conference on Automation Science and Engineering, 2025
2024
An Improved NSGAII for Integrated Container Scheduling Problems With Two Transshipment Routes.
IEEE Trans. Intell. Transp. Syst., October, 2024
Solving energy-efficient lock group co-scheduling problem with ship lift and approach channel using a collaborative adaptive multi-objective algorithm.
Expert Syst. Appl., 2024
A distance and cosine similarity-based fitness evaluation mechanism for large-scale many-objective optimization.
Eng. Appl. Artif. Intell., 2024
A cooperative adaptive genetic algorithm for reentrant hybrid flow shop scheduling with sequence-dependent setup time and limited buffers.
Complex Intell. Syst., 2024
Co-optimization of the operation and energy for AGVs considering battery-swapping in automated container terminals.
Comput. Ind. Eng., 2024
Scheduling techniques for addressing uncertainties in container ports: A systematic literature review.
Appl. Soft Comput., 2024
Optimization for multi-resource integrated scheduling in the automated container terminal with a parallel layout considering energy-saving.
Adv. Eng. Informatics, 2024
2023
Automated rail-water intermodal transport container terminal handling equipment cooperative scheduling based on bidirectional hybrid flow-shop scheduling problem.
Comput. Ind. Eng., December, 2023
Port integrated scheduling under uncertain operation time and cascade effects: A complex network structure entropy solution.
Comput. Ind. Eng., August, 2023
Real-time scheduling simulation optimisation of job shop in a production-logistics collaborative environment.
Int. J. Prod. Res., March, 2023
Discrete multi-objective artificial bee colony algorithm for green co-scheduling problem of ship lift and ship lock.
Adv. Eng. Informatics, January, 2023
2022
Multiobjective Optimization of Energy-Efficient JOB-Shop Scheduling With Dynamic Reference Point-Based Fuzzy Relative Entropy.
IEEE Trans. Ind. Informatics, 2022
Many-Objective Evolutionary Algorithm With Reference Point-Based Fuzzy Correlation Entropy for Energy-Efficient Job Shop Scheduling With Limited Workers.
IEEE Trans. Cybern., 2022
A multiobjective evolutionary algorithm for achieving energy efficiency in production environments integrated with multiple automated guided vehicles.
Knowl. Based Syst., 2022
Energy-efficient open-shop scheduling with multiple automated guided vehicles and deteriorating jobs.
J. Ind. Inf. Integr., 2022
Optimization of energy-efficient open shop scheduling with an adaptive multi-objective differential evolution algorithm.
Appl. Soft Comput., 2022
Multiobjective Scheduling for Cooperative Operation of Multiple Gantry Cranes in Railway Area of Container Terminal.
IEEE Access, 2022
2021
An effective hybrid meta-heuristic for flexible flow shop scheduling with limited buffers and step-deteriorating jobs.
Eng. Appl. Artif. Intell., 2021
Appl. Soft Comput., 2021
2020
An Information Theory Inspired Real-Time Self-Adaptive Scheduling for Production-Logistics Resources: Framework, Principle, and Implementation.
Sensors, 2020
Real-Time Production and Logistics Self-Adaption Scheduling Based on Information Entropy Theory.
Sensors, 2020
A Two-Phase Stowage Approach for Passenger-Cargo RoRo Ship Based on 2D-KP: Coping With Complex Rotation and Safe Navigation Constraints.
IEEE Access, 2020
2019
A discrete multi-objective fireworks algorithm for flowshop scheduling with sequence-dependent setup times.
Swarm Evol. Comput., 2019
2018
Proceedings of the Internet and Distributed Computing Systems, 2018