Lijun He

Orcid: 0000-0002-3428-9493

Affiliations:
  • Wuhan University of Technology, School of Transportation and Logistics Engineering, China (PhD 2022)


According to our database1, Lijun He authored at least 26 papers between 2018 and 2025.

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

Timeline

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Bibliography

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

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

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

Optimising the job-shop scheduling problem using a multi-objective Jaya algorithm.
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
Review of Swarm Intelligence Algorithms for Multi-objective Flowshop Scheduling.
Proceedings of the Internet and Distributed Computing Systems, 2018


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