Deming Lei

Appl. Soft Comput., 2024

An adaptive shuffled frog-leaping algorithm for flexible flow shop scheduling problem with batch processing machines.

[BibT_eX]

[DOI]

Chenyu He

Appl. Soft Comput., 2024

2023

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

[BibT_eX]

[DOI]

Tao Dai

Symmetry, March, 2023

A multi-class teaching-learning-based optimization for multi-objective distributed hybrid flow shop scheduling.

[BibT_eX]

[DOI]

Bin Su

Knowl. Based Syst., March, 2023

A novel shuffled frog-leaping algorithm with reinforcement learning for distributed assembly hybrid flow shop scheduling.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Tian Yi

Mingbo Li

J. Intell. Fuzzy Syst., 2023

An imperialist competitive algorithm for distributed assembly flowshop scheduling with <i>Pm</i> → 1 layout and transportation.

[BibT_eX]

[DOI]

Haoyang Du

Hongtao Tang

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.

[BibT_eX]

[DOI]

Jing Wang

Hongtao Tang

Eng. Appl. Artif. Intell., 2023

2022

A Bi-Population Evolutionary Algorithm With Feedback for Energy-Efficient Fuzzy Flexible Job Shop Scheduling.

[BibT_eX]

[DOI]

Zi-Xiao Pan

Ling Wang

IEEE Trans. Syst. Man Cybern. Syst., 2022

A Knowledge-Based Two-Population Optimization Algorithm for Distributed Energy-Efficient Parallel Machines Scheduling.

[BibT_eX]

[DOI]

Zi-Xiao Pan

Ling Wang

IEEE Trans. Cybern., 2022

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

[BibT_eX]

[DOI]

Symmetry, 2022

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

[BibT_eX]

[DOI]

Mingbo Li

Huan Xiong

Symmetry, 2022

Distributed Energy-Efficient Assembly Scheduling Problem with Transportation Capacity.

[BibT_eX]

[DOI]

Jinlin Li

Symmetry, 2022

An adaptive artificial bee colony for unrelated parallel machine scheduling with additional resource and maintenance.

[BibT_eX]

[DOI]

Shaosi He

Expert Syst. Appl., 2022

A dynamical artificial bee colony for vehicle routing problem with drones.

[BibT_eX]

[DOI]

Zhengzhi Cui

Eng. Appl. Artif. Intell., 2022

Q-Learning-Based Teaching-Learning Optimization for Distributed Two-Stage Hybrid Flow Shop Scheduling with Fuzzy Processing Time.

[BibT_eX]

[DOI]

Bingjie Xi

Complex Syst. Model. Simul., 2022

An adaptive artificial bee colony with reinforcement learning for distributed three-stage assembly scheduling with maintenance.

[BibT_eX]

[DOI]

Jing Wang

Appl. Soft Comput., 2022

Scheduling unrelated parallel machines with preventive maintenance and setup time: Multi-sub-colony artificial bee colony.

[BibT_eX]

[DOI]

Hai Yang

Appl. Soft Comput., 2022

An improved variable neighborhood search for parallel drone scheduling traveling salesman problem.

[BibT_eX]

[DOI]

Xiang Chen

Appl. Soft Comput., 2022

2021

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

[BibT_eX]

[DOI]

Tian Yi

Symmetry, 2021

A novel imperialist competitive algorithm for fuzzy distributed assembly flow shop scheduling.

[BibT_eX]

[DOI]

Bin Su

J. Intell. Fuzzy Syst., 2021

Diversified teaching-learning-based optimization for fuzzy two-stage hybrid flow shop scheduling with setup time.

[BibT_eX]

[DOI]

Bingjie Xi

J. Intell. Fuzzy Syst., 2021

Two-phase imperialist competitive algorithm for energy-efficient flexible job shop scheduling.

[BibT_eX]

[DOI]

Jiong Guo

J. Intell. Fuzzy Syst., 2021

An improved artificial bee colony for multi-objective distributed unrelated parallel machine scheduling.

[BibT_eX]

[DOI]

Yue Yuan

Int. J. Prod. Res., 2021

Cooperated teaching-learning-based optimisation for distributed two-stage assembly flow shop scheduling.

[BibT_eX]

[DOI]

Bin Su

Int. J. Prod. Res., 2021

A shuffled frog-leaping algorithm with memeplex quality for bi-objective distributed scheduling in hybrid flow shop.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2021

2020

Modified Harris Hawks Optimizer for Solving Machine Scheduling Problems.

[BibT_eX]

[DOI]

Hamza Jouhari

Mohammed Abdulaziz Aide Al-qaness

Mohamed E. Abd Elaziz

Robertas Damasevicius

Marcin Korytkowski

Ahmed A. Ewees

Symmetry, 2020

Multi-population meta-heuristics for production scheduling: A survey.

[BibT_eX]

[DOI]

Swarm Evol. Comput., 2020

Fuzzy distributed two-stage hybrid flow shop scheduling problem with setup time: collaborative variable search.

[BibT_eX]

[DOI]

Rui Zhou

J. Intell. Fuzzy Syst., 2020

An imperialist competitive algorithm with memory for distributed unrelated parallel machines scheduling.

[BibT_eX]

[DOI]

Int. J. Prod. Res., 2020

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

[BibT_eX]

[DOI]

Neurocomputing, 2020

Dynamic shuffled frog-leaping algorithm for distributed hybrid flow shop scheduling with multiprocessor tasks.

[BibT_eX]

[DOI]

Rui Zhou

Eng. Appl. Artif. Intell., 2020

An artificial bee colony with division for distributed unrelated parallel machine scheduling with preventive maintenance.

[BibT_eX]

[DOI]

Meiyao Liu

Comput. Ind. Eng., 2020

2019

A Two-Phase Meta-Heuristic for Multiobjective Flexible Job Shop Scheduling Problem With Total Energy Consumption Threshold.

[BibT_eX]

[DOI]

Ling Wang

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].

[BibT_eX]

Swarm Evol. Comput., 2019

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

[BibT_eX]

[DOI]

Swarm Evol. Comput., 2019

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

[BibT_eX]

[DOI]

Rui Zhou

Xinmin Zhou

IEEE Access, 2019

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

[BibT_eX]

[DOI]

Hejin Xiong

IEEE Access, 2019

2018

A Novel Teaching-Learning-Based Optimization Algorithm for Energy-Efficient Scheduling in Hybrid Flow Shop.

[BibT_eX]

[DOI]

Liang Gao

IEEE Trans. Engineering Management, 2018

Recognition of Human Motion State Based on Machine Learning.

[BibT_eX]

[DOI]

Yuan Zheng

Hejin Xiong

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.

[BibT_eX]

[DOI]

Chengzhi Guo

Proceedings of the Intelligent Computing Theories and Application, 2018

Multi-objective Flexible Job Shop Scheduling Problem with Energy Consumption Constraint Using Imperialist Competitive Algorithm.

[BibT_eX]

[DOI]

Chengzhi Guo

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.

[BibT_eX]

[DOI]

IEEE Trans. Engineering Management, 2017

A shuffled frog-leaping algorithm for flexible job shop scheduling with the consideration of energy consumption.

[BibT_eX]

[DOI]

Int. J. Prod. Res., 2017

Hybrid flow shop scheduling with assembly operations and key objectives: A novel neighborhood search.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2017

2016

Variable neighborhood search for the second type of two-sided assembly line balancing problem.

[BibT_eX]

[DOI]

Comput. Oper. Res., 2016

Hybrid flow shop scheduling with not-all-machines options via local search with controlled deterioration.

[BibT_eX]

[DOI]

Comput. Oper. Res., 2016

2015

A shuffled frog-leaping algorithm for hybrid flow shop scheduling with two agents.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2015

Variable neighborhood search for two-agent flow shop scheduling problem.

[BibT_eX]

[DOI]

Comput. Ind. Eng., 2015

Two-phase neighborhood search algorithm for two-agent hybrid flow shop scheduling problem.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2015

2012

Co-evolutionary genetic algorithm for fuzzy flexible job shop scheduling.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2012

Minimizing makespan for scheduling stochastic job shop with random breakdown.

[BibT_eX]

[DOI]

De-ming Lei

Appl. Math. Comput., 2012

2011

An effective neighborhood search algorithm for scheduling a flow shop of batch processing machines.

[BibT_eX]

[DOI]

Tao Wang

Comput. Ind. Eng., 2011

Population-based neighborhood search for job shop scheduling with interval processing time.

[BibT_eX]

[DOI]

Comput. Ind. Eng., 2011

Simplified multi-objective genetic algorithms for stochastic job shop scheduling.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2011

2010

Fuzzy job shop scheduling problem with availability constraints.

[BibT_eX]

[DOI]

Comput. Ind. Eng., 2010

Scheduling fuzzy job shop using random key genetic algorithm.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Scheduling jobs and preventive maintenance on fuzzy job shop using genetic algorithm.

[BibT_eX]

[DOI]

Yuan-Xiang Li

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

2008

A Pareto archive particle swarm optimization for multi-objective job shop scheduling.

[BibT_eX]

[DOI]