Leilei Meng
Orcid: 0000-0003-1439-4832
According to our database1,
Leilei Meng
authored at least 44 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
Joint scheduling of AGVs and parallel machines in an automated electrode foil production factory.
Expert Syst. Appl., March, 2024
An effective population-based iterated greedy algorithm for solving the multi-AGV scheduling problem with unloading safety detection.
Inf. Sci., February, 2024
Automatic design of constructive heuristics for a reconfigurable distributed flowshop group scheduling problem.
Comput. Oper. Res., January, 2024
2023
A Self-Adaptive Learning Approach for Uncertain Disassembly Planning Based on Extended Petri Net.
IEEE Trans. Ind. Informatics, December, 2023
An effective multi-objective adaptive iterated greedy algorithm for semi-open multi-AGV scheduling problem with charging and maintenance.
Swarm Evol. Comput., December, 2023
MILP modeling and optimization of multi-objective flexible job shop scheduling problem with controllable processing times.
Swarm Evol. Comput., October, 2023
Reconfigurable distributed flowshop group scheduling with a nested variable neighborhood descent algorithm.
Expert Syst. Appl., May, 2023
Real-time data-driven automatic design of multi-objective evolutionary algorithm: A case study on production scheduling.
Appl. Soft Comput., May, 2023
An effective self-adaptive iterated greedy algorithm for a multi-AGVs scheduling problem with charging and maintenance.
Expert Syst. Appl., April, 2023
A decomposition-based multi-objective evolutionary algorithm for hybrid flowshop rescheduling problem with consistent sublots.
Int. J. Prod. Res., February, 2023
An Improved Genetic Algorithm for Solving the Multi-AGV Flexible Job Shop Scheduling Problem.
Sensors, 2023
2022
An improved iterated greedy algorithm for the energy-efficient blocking hybrid flow shop scheduling problem.
Swarm Evol. Comput., 2022
Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times.
Swarm Evol. Comput., 2022
A Pareto-based collaborative multi-objective optimization algorithm for energy-efficient scheduling of distributed permutation flow-shop with limited buffers.
Robotics Comput. Integr. Manuf., 2022
An automatic multi-objective evolutionary algorithm for the hybrid flowshop scheduling problem with consistent sublots.
Knowl. Based Syst., 2022
An effective metaheuristic with a differential flight strategy for the distributed permutation flowshop scheduling problem with sequence-dependent setup times.
Knowl. Based Syst., 2022
An evolutionary algorithm for a hybrid flowshop scheduling problem with consistent sublots.
Int. J. Autom. Control., 2022
A fuzzy correlation based heuristic for Dual-mode integrated Location routing problem.
Comput. Oper. Res., 2022
An effective discrete invasive weed optimization algorithm for multi-AGVs dispatching problem with specific cases in matrix manufacturing workshop.
Comput. Ind. Eng., 2022
2021
A Multiobjective Disassembly Planning for Value Recovery and Energy Conservation From End-of-Life Products.
IEEE Trans Autom. Sci. Eng., 2021
A hybrid estimation of distribution algorithm for distributed flexible job shop scheduling with crane transportations.
Swarm Evol. Comput., 2021
A discrete artificial bee colony algorithm for distributed hybrid flowshop scheduling problem with sequence-dependent setup times.
Int. J. Prod. Res., 2021
Generative adversarial network-based atmospheric scattering model for image dehazing.
Digit. Commun. Networks, 2021
A collaborative variable neighborhood descent algorithm for the hybrid flowshop scheduling problem with consistent sublots.
Appl. Soft Comput., 2021
Proceedings of the Intelligent Computing Theories and Application, 2021
2020
IEEE Trans. Veh. Technol., 2020
A Three-Stage Multiobjective Approach Based on Decomposition for an Energy-Efficient Hybrid Flow Shop Scheduling Problem.
IEEE Trans. Syst. Man Cybern. Syst., 2020
An MCDM-Based Multiobjective General Variable Neighborhood Search Approach for Disassembly Line Balancing Problem.
IEEE Trans. Syst. Man Cybern. Syst., 2020
IEEE Trans. Intell. Transp. Syst., 2020
A hybrid metaheuristic algorithm for a profit-oriented and energy-efficient disassembly sequencing problem.
Robotics Comput. Integr. Manuf., 2020
Int. J. Prod. Res., 2020
An improved general variable neighborhood search for a static bike-sharing rebalancing problem considering the depot inventory.
Expert Syst. Appl., 2020
Mixed-integer linear programming and constraint programming formulations for solving distributed flexible job shop scheduling problem.
Comput. Ind. Eng., 2020
An improved artificial bee colony algorithm for distributed heterogeneous hybrid flowshop scheduling problem with sequence-dependent setup times.
Comput. Ind. Eng., 2020
MILP Modeling and Optimization of Energy- Efficient Distributed Flexible Job Shop Scheduling Problem.
IEEE Access, 2020
2019
Mathematical modelling and optimisation of energy-conscious hybrid flow shop scheduling problem with unrelated parallel machines.
Int. J. Prod. Res., 2019
A multiobjective evolutionary algorithm based on decomposition for hybrid flowshop green scheduling problem.
Comput. Ind. Eng., 2019
Mathematical Modeling and Optimization of Energy-Conscious Flexible Job Shop Scheduling Problem With Worker Flexibility.
IEEE Access, 2019
2018
Mob. Networks Appl., 2018
Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems, 2018
Proceedings of the Green, Pervasive, and Cloud Computing - 13th International Conference, 2018
2017
An improved gravitational search algorithm for profit-oriented partial disassembly line balancing problem.
Int. J. Prod. Res., 2017
Study on the power consumption of different milling modes and number of inserts in face milling processes.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017
2016
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2016