Liping Zhang

Orcid: 0000-0003-1060-1689

Affiliations:
  • Huazhong University of Science and Technology, State Key Laboratory of Digital Manufacturing Equipment and Technology, Wuhan, China


According to our database1, Liping Zhang authored at least 35 papers between 2008 and 2025.

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

Timeline

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Bibliography

2025
A matheuristic-based self-learning approach for distributed heterogeneous assembly flowshop scheduling with multiple assembly factories and make-to-order delivery.
Swarm Evol. Comput., 2025

A matheuristic-based self-learning evolutionary algorithm for lot streaming hybrid flow shop group scheduling with limited auxiliary modules.
Swarm Evol. Comput., 2025

A Q-learning-based multi-population algorithm for multi-objective distributed heterogeneous assembly no-idle flowshop scheduling with batch delivery.
Expert Syst. Appl., 2025

Balancing and scheduling human-robot collaborative assembly lines with heterogeneous robots and limited resources: Constraint programming approach and fruit fly optimization algorithm.
Comput. Ind. Eng., 2025

A Q-learning-oriented multi-objective teaching-learning-based optimization algorithm for balancing U-shaped disassembly lines.
Appl. Soft Comput., 2025

2024
A multi-objective co-evolutionary algorithm for energy and cost-oriented mixed-model assembly line balancing with multi-skilled workers.
Expert Syst. Appl., February, 2024

A matheuristic-based multi-objective evolutionary algorithm for flexible assembly jobs shop scheduling problem in cellular manufacture.
Swarm Evol. Comput., 2024

Mathematical model and adaptive multi-objective evolutionary algorithm for cellular manufacturing with mixed production mode.
Swarm Evol. Comput., 2024

A self-learning knowledge-based MOEA/D for distributed heterogeneous assembly permutation flowshop scheduling with batch delivery.
Knowl. Based Syst., 2024

Matheuristic and learning-oriented multi-objective artificial bee colony algorithm for energy-aware flexible assembly job shop scheduling problem.
Eng. Appl. Artif. Intell., 2024

Production costs and total completion time minimization for three-stage mixed-model assembly job shop scheduling with lot streaming and batch transfer.
Eng. Appl. Artif. Intell., 2024

A matheuristic-oriented iterated greedy algorithm for multi-mode resource-constrained project scheduling problem under uncertainty.
Comput. Ind. Eng., 2024

Flexible assembly job shop scheduling problem considering reconfigurable machine: A cooperative co-evolutionary matheuristic algorithm.
Appl. Soft Comput., 2024

2023
Mathematical model and augmented simulated annealing algorithm for mixed-model assembly job shop scheduling problem with batch transfer.
Knowl. Based Syst., November, 2023

Improved multi-objective artificial bee colony algorithm for parallel machine lot-streaming scheduling problem with limited and unequal sub-lots.
Comput. Ind. Eng., September, 2023

2022
Multi-objective Q-learning-based hyper-heuristic with Bi-criteria selection for energy-aware mixed shop scheduling.
Swarm Evol. Comput., 2022

A node sequence-based ant colony optimisation algorithm for die scheduling problem with twin-crane transportation.
Int. J. Prod. Res., 2022

Scheduling flexible manufacturing cell with no-idle flow-lines and job-shop via Q-learning-based genetic algorithm.
Comput. Ind. Eng., 2022

2021
Data-Driven Dispatching Rules Mining and Real-Time Decision-Making Methodology in Intelligent Manufacturing Shop Floor with Uncertainty.
Sensors, 2021

2020
Ergonomic risk and cycle time minimization for the U-shaped worker assignment assembly line balancing problem: A multi-objective approach.
Comput. Oper. Res., 2020

2019
Modelling and optimisation of energy-efficient U-shaped robotic assembly line balancing problems.
Int. J. Prod. Res., 2019

2017
Balancing stochastic two-sided assembly line with multiple constraints using hybrid teaching-learning-based optimization algorithm.
Comput. Oper. Res., 2017

Two-sided assembly line balancing problem of type I: Improvements, a simple algorithm and a comprehensive study.
Comput. Oper. Res., 2017

2016
Balancing mixed-model assembly lines with sequence-dependent tasks via hybrid genetic algorithm.
J. Glob. Optim., 2016

An effective discrete artificial bee colony algorithm with idle time reduction techniques for two-sided assembly line balancing problem of type-II.
Comput. Ind. Eng., 2016

2013
An Efficient Memetic Algorithm for Dynamic Flexible Job Shop Scheduling with Random Job Arrivals.
Int. J. Softw. Sci. Comput. Intell., 2013

Free Pattern Search for global optimization.
Appl. Soft Comput., 2013

2012
Dynamic scheduling model in FMS by considering energy consumption and schedule efficiency.
Proceedings of the IEEE 16th International Conference on Computer Supported Cooperative Work in Design, 2012

Scheduling flexible job shop in dynamic environment based on a memetic algorithm.
Proceedings of the 11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, 2012

Modeling the performance of electrochemical machining process using free pattern search.
Proceedings of the 11th IEEE International Conference on Cognitive Informatics and Cognitive Computing, 2012

2011
An efficient memetic algorithm for solving the job shop scheduling problem.
Comput. Ind. Eng., 2011

Application of gene expression programming on dynamic job shop scheduling problem.
Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design, 2011

An effective multi-swarm collaborative evolutionary algorithm for flexible job shop scheduling problem.
Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design, 2011

2009
Research on Job-Shop Scheduling Problem Based on Genetic Ant Colony Algorithms.
Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009

2008
Optimization for Multi-Resource Allocation and Leveling Based on a Self-Adaptive Ant Colony Algorithm.
Proceedings of the 2008 International Conference on Computational Intelligence and Security, 2008


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