Deming Lei

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
A DQL-NSGA-III algorithm for solving the flexible job shop dynamic scheduling problem.
Expert Syst. Appl., March, 2024

An Adaptive Two-Class Teaching-Learning-Based Optimization for Energy-Efficient Hybrid Flow Shop Scheduling Problems with Additional Resources.
Symmetry, February, 2024

2023
A Shuffled Frog-Leaping Algorithm with Cooperations for Distributed Assembly Hybrid-Flow Shop Scheduling with Factory Eligibility.
Symmetry, March, 2023

A multi-class teaching-learning-based optimization for multi-objective distributed hybrid flow shop scheduling.
Knowl. Based Syst., March, 2023

A novel shuffled frog-leaping algorithm with reinforcement learning for distributed assembly hybrid flow shop scheduling.
Int. J. Prod. Res., February, 2023

A shuffled frog-leaping algorithm with Q-learning for unrelated parallel machine scheduling with additional resource and learning effect.
J. Intell. Fuzzy Syst., 2023

An imperialist competitive algorithm for distributed assembly flowshop scheduling with <i>Pm</i> → 1 layout and transportation.
J. Intell. Fuzzy Syst., 2023

A Q-learning artificial bee colony for distributed assembly flow shop scheduling with factory eligibility, transportation capacity and setup time.
Eng. Appl. Artif. Intell., 2023

2022
A Bi-Population Evolutionary Algorithm With Feedback for Energy-Efficient Fuzzy Flexible Job Shop Scheduling.
IEEE Trans. Syst. Man Cybern. Syst., 2022

A Knowledge-Based Two-Population Optimization Algorithm for Distributed Energy-Efficient Parallel Machines Scheduling.
IEEE Trans. Cybern., 2022

A Hybrid Imperialist Competitive Algorithm for the Distributed Unrelated Parallel Machines Scheduling Problem.
Symmetry, 2022

An Artificial Bee Colony with Adaptive Competition for the Unrelated Parallel Machine Scheduling Problem with Additional Resources and Maintenance.
Symmetry, 2022

Distributed Energy-Efficient Assembly Scheduling Problem with Transportation Capacity.
Symmetry, 2022

An adaptive artificial bee colony for unrelated parallel machine scheduling with additional resource and maintenance.
Expert Syst. Appl., 2022

A dynamical artificial bee colony for vehicle routing problem with drones.
Eng. Appl. Artif. Intell., 2022

An adaptive artificial bee colony with reinforcement learning for distributed three-stage assembly scheduling with maintenance.
Appl. Soft Comput., 2022

Scheduling unrelated parallel machines with preventive maintenance and setup time: Multi-sub-colony artificial bee colony.
Appl. Soft Comput., 2022

An improved variable neighborhood search for parallel drone scheduling traveling salesman problem.
Appl. Soft Comput., 2022

2021
A Novel Shuffled Frog-Leaping Algorithm for Unrelated Parallel Machine Scheduling with Deteriorating Maintenance and Setup Time.
Symmetry, 2021

A novel imperialist competitive algorithm for fuzzy distributed assembly flow shop scheduling.
J. Intell. Fuzzy Syst., 2021

Diversified teaching-learning-based optimization for fuzzy two-stage hybrid flow shop scheduling with setup time.
J. Intell. Fuzzy Syst., 2021

Two-phase imperialist competitive algorithm for energy-efficient flexible job shop scheduling.
J. Intell. Fuzzy Syst., 2021

An improved artificial bee colony for multi-objective distributed unrelated parallel machine scheduling.
Int. J. Prod. Res., 2021

Cooperated teaching-learning-based optimisation for distributed two-stage assembly flow shop scheduling.
Int. J. Prod. Res., 2021

A shuffled frog-leaping algorithm with memeplex quality for bi-objective distributed scheduling in hybrid flow shop.
Int. J. Prod. Res., 2021

An imperialist competitive algorithm with feedback for energy-efficient flexible job shop scheduling with transportation and sequence-dependent setup times.
Eng. Appl. Artif. Intell., 2021

2020
Modified Harris Hawks Optimizer for Solving Machine Scheduling Problems.
Symmetry, 2020

Multi-population meta-heuristics for production scheduling: A survey.
Swarm Evol. Comput., 2020

Fuzzy distributed two-stage hybrid flow shop scheduling problem with setup time: collaborative variable search.
J. Intell. Fuzzy Syst., 2020

An imperialist competitive algorithm with memory for distributed unrelated parallel machines scheduling.
Int. J. Prod. Res., 2020

A short-term traffic forecasting model based on echo state network optimized by improved fruit fly optimization algorithm.
Neurocomputing, 2020

Dynamic shuffled frog-leaping algorithm for distributed hybrid flow shop scheduling with multiprocessor tasks.
Eng. Appl. Artif. Intell., 2020

An artificial bee colony with division for distributed unrelated parallel machine scheduling with preventive maintenance.
Comput. Ind. Eng., 2020

2019
A Two-Phase Meta-Heuristic for Multiobjective Flexible Job Shop Scheduling Problem With Total Energy Consumption Threshold.
IEEE Trans. Cybern., 2019

Corrigendum to "Two-level imperialist competitive algorithm for energy-efficient hybrid flow shop scheduling problem with relative importance of objectives" [Swarm Evol. Comput. 49 (2019) 34-43].
Swarm Evol. Comput., 2019

Two-level imperialist competitive algorithm for energy-efficient hybrid flow shop scheduling problem with relative importance of objectives.
Swarm Evol. Comput., 2019

Multi-Objective Energy-Efficient Interval Scheduling in Hybrid Flow Shop Using Imperialist Competitive Algorithm.
IEEE Access, 2019

An Imperialist Competitive Algorithm With the Diversified Operators for Many-Objective Scheduling in Flexible Job Shop.
IEEE Access, 2019

2018
A Novel Teaching-Learning-Based Optimization Algorithm for Energy-Efficient Scheduling in Hybrid Flow Shop.
IEEE Trans. Engineering Management, 2018

Recognition of Human Motion State Based on Machine Learning.
Proceedings of the 11th International Symposium on Computational Intelligence and Design, 2018

A Two-Phase Variable Neighborhood Search for Flexible Job Shop Scheduling Problem with Energy Consumption Constraint.
Proceedings of the Intelligent Computing Theories and Application, 2018

Multi-objective Flexible Job Shop Scheduling Problem with Energy Consumption Constraint Using Imperialist Competitive Algorithm.
Proceedings of the Intelligent Computing Theories and Application, 2018

2017
Novel Two-Phase Approach for Process Optimization of Customer Collaborative Design Based on Fuzzy-QFD and DSM.
IEEE Trans. Engineering Management, 2017

A shuffled frog-leaping algorithm for flexible job shop scheduling with the consideration of energy consumption.
Int. J. Prod. Res., 2017

Hybrid flow shop scheduling with assembly operations and key objectives: A novel neighborhood search.
Appl. Soft Comput., 2017

2016
Variable neighborhood search for the second type of two-sided assembly line balancing problem.
Comput. Oper. Res., 2016

Hybrid flow shop scheduling with not-all-machines options via local search with controlled deterioration.
Comput. Oper. Res., 2016

2015
A shuffled frog-leaping algorithm for hybrid flow shop scheduling with two agents.
Expert Syst. Appl., 2015

Variable neighborhood search for two-agent flow shop scheduling problem.
Comput. Ind. Eng., 2015

Two-phase neighborhood search algorithm for two-agent hybrid flow shop scheduling problem.
Appl. Soft Comput., 2015

2012
Co-evolutionary genetic algorithm for fuzzy flexible job shop scheduling.
Appl. Soft Comput., 2012

Minimizing makespan for scheduling stochastic job shop with random breakdown.
Appl. Math. Comput., 2012

2011
An effective neighborhood search algorithm for scheduling a flow shop of batch processing machines.
Comput. Ind. Eng., 2011

Population-based neighborhood search for job shop scheduling with interval processing time.
Comput. Ind. Eng., 2011

Simplified multi-objective genetic algorithms for stochastic job shop scheduling.
Appl. Soft Comput., 2011

2010
Fuzzy job shop scheduling problem with availability constraints.
Comput. Ind. Eng., 2010

Scheduling fuzzy job shop using random key genetic algorithm.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Scheduling jobs and preventive maintenance on fuzzy job shop using genetic algorithm.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

2008
A Pareto archive particle swarm optimization for multi-objective job shop scheduling.
Comput. Ind. Eng., 2008


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