Jiansha Lu

Orcid: 0000-0001-5793-3328

According to our database1, Jiansha Lu authored at least 14 papers between 2014 and 2026.

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

2026
Scheduling optimization of hybrid multi-deep robotic mobile fulfillment systems.
Int. J. Prod. Res., 2026

2025
A novel curved surface profile monitoring approach based on geometrical-spatial joint feature.
J. Intell. Manuf., March, 2025

Integrated scheduling of multi-objective lot-streaming hybrid flowshop with AGV based on deep reinforcement learning.
Int. J. Prod. Res., 2025

Joint optimization of storage assignment and order batching in robotic mobile fulfillment system with dynamic storage depth and surplus items.
Comput. Ind. Eng., 2025

2024
Scheduling Optimization of Compound Operations in Autonomous Vehicle Storage and Retrieval System.
Symmetry, February, 2024

2023
Travel time analysis and dimension optimisation design of double-ended compact storage system.
Int. J. Prod. Res., October, 2023

A Point Cloud Data-Driven Pallet Pose Estimation Method Using an Active Binocular Vision Sensor.
Sensors, February, 2023

An automated guided vehicle conflict-free scheduling approach considering assignment rules in a robotic mobile fulfillment system.
Comput. Ind. Eng., February, 2023

2022
Adaptive differential evolution with ensembling operators for continuous optimization problems.
Swarm Evol. Comput., 2022

A Novel Pallet Detection Method for Automated Guided Vehicles Based on Point Cloud Data.
Sensors, 2022

2021
ε Constrained differential evolution using halfspace partition for optimization problems.
J. Intell. Manuf., 2021

An Improved Adaptive Differential Evolution Approach for Constrained Optimization Problems.
Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

2019
Human reliability study on the door operation from the view of Deep Machine Learning.
Future Gener. Comput. Syst., 2019

2014
A scheduling approach for ship design project with fields constraint in tasks and human resources.
Proceedings of the 5th IEEE Conference on Cognitive Infocommunications, 2014


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