Leilei Meng

Orcid: 0000-0003-1439-4832

According to our database1, Leilei Meng authored at least 54 papers between 2016 and 2025.

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Bibliography

2025
Sustainable optimization of balancing valve settings in urban heating systems with an enhanced Jaya algorithm.
Expert Syst. Appl., 2025

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

A self-adaptive memetic algorithm with Q-learning for solving the multi-AGVs dispatching problem.
Swarm Evol. Comput., 2024

Optimizing distributed reentrant heterogeneous hybrid flowshop batch scheduling problem: Iterative construction-local search-reconstruction algorithm.
Swarm Evol. Comput., 2024

A dual population collaborative genetic algorithm for solving flexible job shop scheduling problem with AGV.
Swarm Evol. Comput., 2024

Solving the multi-objective path planning problem for mobile robot using an improved NSGA-II algorithm.
Swarm Evol. Comput., 2024

Decomposition-based multi-objective approach for a green hybrid flowshop rescheduling problem with consistent sublots.
Int. J. Prod. Res., 2024

Effective metaheuristic and rescheduling strategies for the multi-AGV scheduling problem with sudden failure.
Expert Syst. Appl., 2024

MIP modeling of energy-conscious FJSP and its extended problems:From simplicity to complexity.
Expert Syst. Appl., 2024

An Effective Discrete Jaya Algorithm for Multi-AGVs Scheduling Problem With Dynamic Unloading Time.
IEEE Access, 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

A problem-specific knowledge based artificial bee colony algorithm for scheduling distributed permutation flowshop problems with peak power consumption.
Eng. Appl. Artif. Intell., November, 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

An Improved SMA Algorithm for Solving Global Optimization Problems.
Proceedings of the Intelligent Computing Theories and Application, 2021

2020
Intelligent Maritime Networking With Edge Services and Computing Capability.
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

Rebalancing Bike Sharing Systems for Minimizing Depot Inventory and Traveling Costs.
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

More MILP models for hybrid flow shop scheduling problem and its extended problems.
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
Fine-Grained Big Traffic Data Reverse-charge System: A Method of Saving Expenses.
Mob. Networks Appl., 2018

Signal reception for successive interference cancellation in NOMA downlink.
Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems, 2018

Urban Data Acquisition Routing Approach for Vehicular Sensor Networks.
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
A new model for predicting power consumption of machining processes: A turning case.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2016


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