Junqing Li

Orcid: 0000-0002-3617-6708

Affiliations:
  • 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 127 papers between 2008 and 2024.

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Bibliography

2024
Multi-population cooperative multi-objective evolutionary algorithm for sequence-dependent group flow shop with consistent sublots.
Expert Syst. Appl., March, 2024

A composite surrogate-assisted evolutionary algorithm for expensive many-objective optimization.
Expert Syst. Appl., February, 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

Dynamic AGV Scheduling Model With Special Cases in Matrix Production Workshop.
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

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

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

An effective multi-AGVs dispatching method applied to matrix manufacturing workshop.
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

A wale optimization algorithm for distributed flow shop with batch delivery.
Soft Comput., 2021

A hybrid algorithm for electric vehicle routing problem with nonlinear charging.
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

A collaborative variable neighborhood descent algorithm for the hybrid flowshop scheduling problem with consistent sublots.
Appl. Soft Comput., 2021

A green scheduling algorithm for the distributed flowshop problem.
Appl. Soft Comput., 2021

An imperialist competition algorithm using a global search strategy for physical examination scheduling.
Appl. Intell., 2021

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

2020
Interval Multiobjective Optimization With Memetic Algorithms.
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

Improved Jaya Algorithm for Flexible Job Shop Rescheduling Problem.
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

Effective Hot Rolling Batch Scheduling Algorithms in Compact Strip Production.
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

An Improved Brain Storm Optimization for a Hybrid Renewable Energy System.
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

Migrating Birds Optimization for Lot-streaming flow shop scheduling problem.
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

A mullti- or many- objective evolutionary algorithm with global loop update.
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

Optimal Chiller Loading by MOEA/D for Reducing Energy Consumption.
Proceedings of the Intelligent Computing Theories and Application, 2018

Application of Ant Colony Algorithms to Solve the Vehicle Routing Problem.
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

Research on Vehicle Routing Problem with Time Windows Restrictions.
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
A hybrid artificial bee colony for optimizing a reverse logistics network system.
Soft Comput., 2017

An effective modified migrating birds optimization for hybrid flowshop scheduling problem with lot streaming.
Appl. Soft Comput., 2017

Bi-objective Water Cycle Algorithm for Solving Remanufacturing Rescheduling Problem.
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

A Hybrid Harmony Search Algorithm for the no-Wait Flow-shop Scheduling Problems.
Asia Pac. J. Oper. Res., 2012

An effective shuffled frog-leaping algorithm for multi-objective flexible job shop scheduling problems.
Appl. Math. Comput., 2012

Harmony search algorithm with dynamic control parameters.
Appl. Math. Comput., 2012

Solving Fuzzy Job-Shop Scheduling Problem by a Hybrid PSO Algorithm.
Proceedings of the Swarm and Evolutionary Computation, 2012

2011
A Hybrid Artificial Bee Colony Algorithm for Flexible Job Shop Scheduling Problems.
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

A Modified Inver-over Operator for the Traveling Salesman Problem.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2011

Flexible Job Shop Scheduling Problem by Chemical-Reaction Optimization Algorithm.
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

Flexible job shop scheduling problems by a hybrid artificial bee colony algorithm.
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

An Effective Trust-Based Search Approach in Peer-to-Peer Network.
Proceedings of the 2010 International Conference on Machine Vision and Human-machine Interface, 2010

A Novel Time Decaying Model for P2P Networks.
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

Memetic algorithm based on improved inver-over operator for TSP.
Proceedings of the Sixth International Conference on Natural Computation, 2010

Scheduling the blocking flow shop problem using a harmony search algorithm.
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

Tabu search algorithm for solving No-idle permutation Flow Shop Scheduling Problem.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

A Hybrid Discrete Harmony Search Algorithm for blocking flow shop Scheduling.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

2009
Secret Sharing System and Secret Sharing Matrix.
Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009

2008
Research on Peer Selection in Peer-to-Peer Networks using Ant Colony Optimization.
Proceedings of the Fourth International Conference on Natural Computation, 2008

A fine-grained time-constraint role-based access control using OCL.
Proceedings of the Third IEEE International Conference on Digital Information Management (ICDIM), 2008


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