Junqing Li
Orcid: 0009-0006-9045-0778Affiliations:
- Liaocheng University, School of Computer Science, China
- Shandong Normal University, School of Computer Science, Jinan, China
- Northeastern University, State Key Laboratory of Synthetic Automation for Process Industries, China (PhD 2016)
According to our database1,
Junqing Li
authored at least 146 papers
between 2008 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
An accelerated discrete artificial bee colony algorithm under the makespan constraint: Solving the distributed blocking flow shop scheduling problem with balanced energy consumption costs.
Expert Syst. Appl., 2025
2024
A Hybrid Graph-Based Imitation Learning Method for a Realistic Distributed Hybrid Flow Shop With Family Setup Time.
IEEE Trans. Syst. Man Cybern. Syst., December, 2024
Bi-Population Balancing Multi-Objective Algorithm for Fuzzy Flexible Job Shop With Energy and Transportation.
IEEE Trans Autom. Sci. Eng., July, 2024
A Reinforcement Learning Approach for Flexible Job Shop Scheduling Problem With Crane Transportation and Setup Times.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
Multi-population cooperative multi-objective evolutionary algorithm for sequence-dependent group flow shop with consistent sublots.
Expert Syst. Appl., March, 2024
Thermal-Adaptation-Behavior-Based Thermal Sensation Evaluation Model with Surveillance Cameras.
Sensors, February, 2024
A composite surrogate-assisted evolutionary algorithm for expensive many-objective optimization.
Expert Syst. Appl., February, 2024
A double-Q network collaborative multi-objective optimization algorithm for precast scheduling with curing constraints.
Swarm Evol. Comput., 2024
Two-level balancing multi-objective algorithm for trapezoidal type-2 fuzzy flexible job shop problems.
Inf. Sci., 2024
A novel collaborative iterative greedy algorithm for hybrid flowshop scheduling problem with batch processing machines and variable sublots.
Int. J. Prod. Res., 2024
Effective metaheuristic and rescheduling strategies for the multi-AGV scheduling problem with sudden failure.
Expert Syst. Appl., 2024
A bi-evolutionary cooperative multi-objective algorithm for blocking group flow shop with outsourcing option.
Expert Syst. Appl., 2024
Theoretical analysis and implementation of mandatory operations-based accelerated search in graph space for hybrid flow shop scheduling.
Expert Syst. Appl., 2024
Evolutionary Search via channel attention based parameter inheritance and stochastic uniform sampled training.
Comput. Vis. Image Underst., 2024
2023
A Machine Learning Approach for Energy-Efficient Intelligent Transportation Scheduling Problem in a Real-World Dynamic Circumstances.
IEEE Trans. Intell. Transp. Syst., 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 collaboration-based multi-objective algorithm for distributed hybrid flowshop scheduling with resource constraints.
Swarm Evol. Comput., December, 2023
<i>Q</i>-learning based multi-objective immune algorithm for fuzzy flexible job shop scheduling problem considering dynamic disruptions.
Swarm Evol. Comput., December, 2023
An effective two-stage iterated greedy algorithm for distributed flowshop group scheduling problem with setup time.
Expert Syst. Appl., December, 2023
A hybrid evolutionary immune algorithm for fuzzy flexible job shop scheduling problem with variable processing speeds.
Expert Syst. Appl., December, 2023
Intelligent optimization under the makespan constraint: Rapid evaluation mechanisms based on the critical machine for the distributed flowshop group scheduling problem.
Eur. J. Oper. Res., December, 2023
An efficient Optimization State-based Coyote Optimization Algorithm and its applications.
Appl. Soft Comput., November, 2023
Energy-Efficient Iterative Greedy Algorithm for the Distributed Hybrid Flow Shop Scheduling With Blocking Constraints.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023
Knowledge-Based Reinforcement Learning and Estimation of Distribution Algorithm for Flexible Job Shop Scheduling Problem.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2023
IEEE Trans. Ind. Informatics, June, 2023
An Improved Artificial Bee Colony Algorithm With Q-Learning for Solving Permutation Flow-Shop Scheduling Problems.
IEEE Trans. Syst. Man Cybern. Syst., 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
Invasive weed optimization for multi-AGVs dispatching problem in a matrix manufacturing workshop.
Swarm Evol. Comput., March, 2023
Growth Optimizer: A powerful metaheuristic algorithm for solving continuous and discrete global optimization problems.
Knowl. Based Syst., 2023
An effective fruit fly optimization algorithm for the distributed permutation flowshop scheduling problem with total flowtime.
Eng. Appl. Artif. Intell., 2023
Intelligent Optimization Under Multiple Factories: Hybrid Flow Shop Scheduling Problem with Blocking Constraints Using an Advanced Iterated Greedy Algorithm.
Complex Syst. Model. Simul., 2023
Multi-Objective Artificial Bee Colony for Assembly Flexible Job Shop with Transportation and Setup Times.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
2022
KMOEA: A Knowledge-Based Multiobjective Algorithm for Distributed Hybrid Flow Shop in a Prefabricated System.
IEEE Trans. Ind. Informatics, 2022
A Hybrid Iterated Greedy Algorithm for a Crane Transportation Flexible Job Shop Problem.
IEEE Trans Autom. Sci. Eng., 2022
An automatic multi-objective evolutionary algorithm for the hybrid flowshop scheduling problem with consistent sublots.
Knowl. Based Syst., 2022
Intelligent optimization under blocking constraints: A novel iterated greedy algorithm for the hybrid flow shop group scheduling problem.
Knowl. Based Syst., 2022
A hybrid imperialist competitive algorithm for the outpatient scheduling problem with switching and preparation times.
J. Intell. Fuzzy Syst., 2022
QMOEA: A Q-learning-based multiobjective evolutionary algorithm for solving time-dependent green vehicle routing problems with time windows.
Inf. Sci., 2022
An evolutionary algorithm for a hybrid flowshop scheduling problem with consistent sublots.
Int. J. Autom. Control., 2022
An effective hybrid collaborative algorithm for energy-efficient distributed permutation flow-shop inverse scheduling.
Future Gener. Comput. Syst., 2022
A collaborative iterative greedy algorithm for the scheduling of distributed heterogeneous hybrid flow shop with blocking constraints.
Expert Syst. Appl., 2022
An improved multi-objective imperialist competitive algorithm for surgical case scheduling problem with switching and preparation times.
Clust. Comput., 2022
Comput. Ind. Eng., 2022
An improved iterated greedy algorithm for distributed robotic flowshop scheduling with order constraints.
Comput. Ind. Eng., 2022
An effective iterative greedy algorithm for distributed blocking flowshop scheduling problem with balanced energy costs criterion.
Appl. Soft Comput., 2022
2021
Reduced-Order Observer-Based Adaptive Fuzzy Tracking Control Scheme of Stochastic Switched Nonlinear Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Adaptive Neural Tracking Control Scheme of Switched Stochastic Nonlinear Pure-Feedback Nonlower Triangular Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Improved Artificial Immune System Algorithm for Type-2 Fuzzy Flexible Job Shop Scheduling Problem.
IEEE Trans. Fuzzy Syst., 2021
An Adaptive Iterated Greedy algorithm for distributed mixed no-idle permutation flowshop scheduling problems.
Swarm Evol. Comput., 2021
A hybrid estimation of distribution algorithm for distributed flexible job shop scheduling with crane transportations.
Swarm Evol. Comput., 2021
Soft Comput., 2021
J. Intell. Fuzzy Syst., 2021
Solving Type-2 Fuzzy Distributed Hybrid Flowshop Scheduling Using an Improved Brain Storm Optimization Algorithm.
Int. J. Fuzzy Syst., 2021
An improved whale optimisation algorithm for distributed assembly flow shop with crane transportation.
Int. J. Autom. Control., 2021
Distributed Flow Shop Scheduling with Sequence-Dependent Setup Times Using an Improved Iterated Greedy Algorithm.
Complex Syst. Model. Simul., 2021
A collaborative variable neighborhood descent algorithm for the hybrid flowshop scheduling problem with consistent sublots.
Appl. Soft Comput., 2021
Appl. Soft Comput., 2021
An imperialist competition algorithm using a global search strategy for physical examination scheduling.
Appl. Intell., 2021
Proceedings of the Intelligent Computing Theories and Application, 2021
2020
IEEE Trans. Cybern., 2020
Multiple Lyapunov Functions for Adaptive Neural Tracking Control of Switched Nonlinear Nonlower-Triangular Systems.
IEEE Trans. Cybern., 2020
Hybrid Artificial Bee Colony Algorithm for a Parallel Batching Distributed Flow-Shop Problem With Deteriorating Jobs.
IEEE Trans. Cybern., 2020
Efficient multi-objective algorithm for the lot-streaming hybrid flowshop with variable sub-lots.
Swarm Evol. Comput., 2020
An improved Jaya algorithm for solving the flexible job shop scheduling problem with transportation and setup times.
Knowl. Based Syst., 2020
Finite-time adaptive neural control and almost disturbance decoupling for disturbed MIMO non-strict-feedback nonlinear systems.
J. Frankl. Inst., 2020
Interval data driven construction of shadowed sets with application to linguistic word modelling.
Inf. Sci., 2020
A hybrid multi-objective artificial bee colony algorithm for flexible task scheduling problems in cloud computing system.
Clust. Comput., 2020
Metaheuristics for solving the vehicle routing problem with the time windows and energy consumption in cold chain logistics.
Appl. Soft Comput., 2020
Discrete evolutionary multi-objective optimization for energy-efficient blocking flow shop scheduling with setup time.
Appl. Soft Comput., 2020
Improved Migrating Birds Optimization Algorithm to Solve Hybrid Flowshop Scheduling Problem With Lot-Streaming.
IEEE Access, 2020
MILP Modeling and Optimization of Energy- Efficient Distributed Flexible Job Shop Scheduling Problem.
IEEE Access, 2020
IEEE Access, 2020
An improved brain storm optimization algorithm for fuzzy distributed hybrid flowshop scheduling with setup time.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
Adaptive Neural-Network-Based Dynamic Surface Control for Stochastic Interconnected Nonlinear Nonstrict-Feedback Systems With Dead Zone.
IEEE Trans. Syst. Man Cybern. Syst., 2019
IEEE Trans Autom. Sci. Eng., 2019
Effective invasive weed optimization algorithms for distributed assembly permutation flowshop problem with total flowtime criterion.
Swarm Evol. Comput., 2019
Optimal chiller loading by improved artificial fish swarm algorithm for energy saving.
Math. Comput. Simul., 2019
Adaptive neural design frame for uncertain stochastic nonlinear non-lower triangular pure-feedback systems with input constraint.
J. Frankl. Inst., 2019
An improved artificial bee colony algorithm for addressing distributed flow shop with distance coefficient in a prefabricated system.
Int. J. Prod. Res., 2019
Some q-rung orthopair uncertain linguistic aggregation operators and their application to multiple attribute group decision making.
Int. J. Intell. Syst., 2019
q-Rung orthopair uncertain linguistic partitioned Bonferroni mean operators and its application to multiple attribute decision-making method.
Int. J. Intell. Syst., 2019
Solving multi-area environmental/ economic dispatch by Pareto-based chemical-reaction optimization algorithm.
IEEE CAA J. Autom. Sinica, 2019
Multi-Attribute Group Decision Making Based on Intuitionistic Uncertain Linguistic Hamy Mean Operators With Linguistic Scale Functions and Its Application to Health-Care Waste Treatment Technology Selection.
IEEE Access, 2019
Solving Distributed Hybrid Flowshop Scheduling Problems by a Hybrid Brain Storm Optimization Algorithm.
IEEE Access, 2019
Multi-Objective Migrating Birds Optimization Algorithm for Stochastic Lot-Streaming Flow Shop Scheduling With Blocking.
IEEE Access, 2019
IEEE Access, 2019
Solving the vehicle routing problem with time window by using an improved brain strom optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
An effective invasive weed optimization algorithm for scheduling semiconductor final testing problem.
Swarm Evol. Comput., 2018
An improved migrating birds optimization for an integrated lot-streaming flow shop scheduling problem.
Swarm Evol. Comput., 2018
An effective discrete invasive weed optimization algorithm for lot-streaming flowshop scheduling problems.
J. Intell. Manuf., 2018
CoRR, 2018
Adaptive RBF Neural-Network-Based Design Strategy for Non-Strict-Feedback Nonlinear Systems by Using Integral Lyapunov Functions.
IEEE Access, 2018
An Efficient Optimization Algorithm for Resource-Constrained Steelmaking Scheduling Problems.
IEEE Access, 2018
Adaptive Neural Controller Design Scheme of Nonlinear Delayed Systems With Completely Unknown Nonlinearities and Non-Strict-Feedback Structure.
IEEE Access, 2018
Proceedings of the Intelligent Computing Theories and Application, 2018
Proceedings of the Intelligent Computing Theories and Application, 2018
Research on Vehicle Routing Problem and Its Optimization Algorithm Based on Assembled Building.
Proceedings of the Intelligent Computing Theories and Application, 2018
An Improved Discrete Migrating Birds Optimization for Lot-Streaming Flow Shop Scheduling Problem with Blocking.
Proceedings of the Intelligent Computing Theories and Application, 2018
Proceedings of the Intelligent Computing Theories and Application, 2018
Research on Swarm Intelligence Algorithm Based on Prefabricated Construction Vehicle Routing Problem.
Proceedings of the Intelligent Computing Theories and Application, 2018
2017
Soft Comput., 2017
An effective modified migrating birds optimization for hybrid flowshop scheduling problem with lot streaming.
Appl. Soft Comput., 2017
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
A Hybrid Artificial Bee Colony Algorithm to Solve Multi-objective Hybrid Flowshop in Cloud Computing Systems.
Proceedings of the Cloud Computing and Security - Third International Conference, 2017
2016
An Improved Artificial Bee Colony Algorithm for Solving Hybrid Flexible Flowshop With Dynamic Operation Skipping.
IEEE Trans. Cybern., 2016
A Hybrid Fruit Fly Optimization Algorithm for the Realistic Hybrid Flowshop Rescheduling Problem in Steelmaking Systems.
IEEE Trans Autom. Sci. Eng., 2016
Solving the shortest-path problem in logistics distribution for vehicle-routing optimization.
Proceedings of the 12th International Conference on Natural Computation, 2016
A Discrete Invasive Weed Optimization Algorithm for the No-Wait Lot-Streaming Flow Shop Scheduling Problems.
Proceedings of the Intelligent Computing Theories and Application, 2016
A Developed NSGA-II Algorithm for Multi-objective Chiller Loading Optimization Problems.
Proceedings of the Intelligent Computing Theories and Application, 2016
Discrete Jaya algorithm for flexible job shop scheduling problem with new job insertion.
Proceedings of the 14th International Conference on Control, 2016
2015
Solving the large-scale hybrid flow shop scheduling problem with limited buffers by a hybrid artificial bee colony algorithm.
Inf. Sci., 2015
A discrete teaching-learning-based optimisation algorithm for realistic flowshop rescheduling problems.
Eng. Appl. Artif. Intell., 2015
2014
Solving the steelmaking casting problem using an effective fruit fly optimisation algorithm.
Knowl. Based Syst., 2014
A hybrid variable neighborhood search for solving the hybrid flow shop scheduling problem.
Appl. Soft Comput., 2014
A new penalty function method for constrained optimization using harmony search algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
A High Performing Memetic Algorithm for the Flowshop Scheduling Problem With Blocking.
IEEE Trans Autom. Sci. Eng., 2013
2012
Chemical-reaction optimization for flexible job-shop scheduling problems with maintenance activity.
Appl. Soft Comput., 2012
Asia Pac. J. Oper. Res., 2012
An effective shuffled frog-leaping algorithm for multi-objective flexible job shop scheduling problems.
Appl. Math. Comput., 2012
Proceedings of the Swarm and Evolutionary Computation, 2012
2011
Int. J. Comput. Commun. Control, 2011
Memetic Algorithm based on Improved Inver-over operator and Lin-Kernighan local search for the Euclidean traveling salesman problem.
Comput. Math. Appl., 2011
Hybrid algorithm based on Chemical Reaction Optimization and Lin-Kernighan local search for the Traveling Salesman Problem.
Proceedings of the Seventh International Conference on Natural Computation, 2011
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2011
Proceedings of the Advanced Intelligent Computing - 7th International Conference, 2011
Discrete Harmony Search Algorithm for the No Wait Flow Shop Scheduling Problem with Makespan Criterion.
Proceedings of the Advanced Intelligent Computing - 7th International Conference, 2011
Cross-domain privilege management system based on ontology in electronic commerce environment.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
2010
A hybrid variable neighborhood search algorithm for solving multi-objective flexible job shop problems.
Comput. Sci. Inf. Syst., 2010
An effective hybrid tabu search algorithm for multi-objective flexible job-shop scheduling problems.
Comput. Ind. Eng., 2010
A Hybrid Pareto-Based Tabu Search for Multi-objective Flexible Job Shop Scheduling Problem with E/T Penalty.
Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010
Proceedings of the 2010 International Conference on Machine Vision and Human-machine Interface, 2010
Proceedings of the 2010 International Conference on Machine Vision and Human-machine Interface, 2010
SCM semantic monitoring platform based on wireless sensor network and RFID under P2P environment.
Proceedings of the Sixth International Conference on Natural Computation, 2010
Proceedings of the Sixth International Conference on Natural Computation, 2010
Proceedings of the Sixth International Conference on Natural Computation, 2010
Scheduling the lot-streaming flow shop problem using a shuffled frog-leaping algorithm.
Proceedings of the Sixth International Conference on Natural Computation, 2010
A hybrid Pareto-based local search for multi-objective flexible job shop scheduling problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010
2009
Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009
2008
Proceedings of the Fourth International Conference on Natural Computation, 2008
Proceedings of the Third IEEE International Conference on Digital Information Management (ICDIM), 2008