Bin Qian
Orcid: 0000-0002-0048-1487Affiliations:
- Kunming University of Science and Technology, School of Information Engineering and Automation, Kunming, China
According to our database1,
Bin Qian
authored at least 75 papers
between 2007 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
A <i>Q</i>-learning-based hyper-heuristic evolutionary algorithm for the distributed flexible job-shop scheduling problem with crane transportation.
Expert Syst. Appl., December, 2023
Expert Syst. Appl., October, 2023
<i>Q</i>-learning-based hyper-heuristic evolutionary algorithm for the distributed assembly blocking flowshop scheduling problem.
Appl. Soft Comput., October, 2023
A Matrix-Cube-Based Estimation of Distribution Algorithm for No-Wait Flow-Shop Scheduling With Sequence-Dependent Setup Times and Release Times.
IEEE Trans. Syst. Man Cybern. Syst., March, 2023
Online-Dynamic-Clustering-Based Soft Sensor for Industrial Semi-Supervised Data Streams.
Sensors, February, 2023
ET2FA: A Hybrid Heuristic Algorithm for Deadline-Constrained Workflow Scheduling in Cloud.
IEEE Trans. Serv. Comput., 2023
Hyper-heuristic Q-Learning Algorithm for Flow-Shop Scheduling Problem with Fuzzy Processing Times.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
A Learning-Based Multi-Objective Evolutionary Algorithm for Parallel Machine Production and Transportation Integrated Optimization Problem.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
A Branch and Bound Algorithm for the Two-Machine Blocking Flowshop Group Scheduling Problem.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Lagrange Heuristic Algorithm Incorporated with Decomposition Strategy for Green Multi-depot Heterogeneous-Fleet Vehicle Routing Problem.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
A Q-Learning-Based Hyper-Heuristic Evolutionary Algorithm for the Distributed Flexible Job-Shop Scheduling Problem.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Deep Reinforcement Learning for Solving Distributed Permutation Flow Shop Scheduling Problem.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Hyper-heuristic Ant Colony Optimization Algorithm for Multi-objective Two-Echelon Vehicle Routing Problem with Time Windows.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Improved EDA-Based Hyper-heuristic for Flexible Job Shop Scheduling Problem with Sequence-Independent Setup Times and Resource Constraints.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Runtime Analysis of Estimation of Distribution Algorithms for a Simple Scheduling Problem.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Hyper-heuristic Three-Dimensional Estimation of Distribution Algorithm for Distributed Assembly Permutation Flowshop Scheduling Problem.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Learning Variable Neighborhood Search Algorithm for Solving the Energy-Efficient Flexible Job-Shop Scheduling Problem.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
A Reinforcement Learning Method for Solving the Production Scheduling Problem of Silicon Electrodes.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Learning Based Memetic Algorithm for the Monocrystalline Silicon Production Scheduling Problem.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Improved Particle Swarm Optimization Algorithm Combined with Reinforcement Learning for Solving Flexible Job Shop Scheduling Problem.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
ADMM with SUSLM for Electric Vehicle Routing Problem with Simultaneous Pickup and Delivery and Time Windows.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Probability Learning Based Multi-objective Evolutionary Algorithm for Distributed No-Wait Flow-Shop and Vehicle Transportation Integrated Optimization Problem.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Hybrid Hyper-heuristic Algorithm for Integrated Production and Transportation Scheduling Problem in Distributed Permutation Flow Shop.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Hyper-heuristic Estimation of Distribution Algorithm for Green Hybrid Flow-Shop Scheduling and Transportation Integrated Optimization Problem.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
2022
A matrix-cube-based estimation of distribution algorithm for blocking flow-shop scheduling problem with sequence-dependent setup times.
Expert Syst. Appl., 2022
A matrix cube-based estimation of distribution algorithm for the energy-efficient distributed assembly permutation flow-shop scheduling problem.
Expert Syst. Appl., 2022
Differential Evolution Algorithm Combined with Uncertainty Handling Techniques for Stochastic Reentrant Job Shop Scheduling Problem.
Complex., 2022
An enhanced cross-entropy algorithm for the green scheduling problem of steelmaking and continuous casting with uncertain processing time.
Comput. Ind. Eng., 2022
A three-dimensional ant colony optimization algorithm for multi-compartment vehicle routing problem considering carbon emissions.
Appl. Soft Comput., 2022
Proceedings of the Intelligent Computing Methodologies - 18th International Conference, 2022
2021
A matrix-cube-based estimation of distribution algorithm for the distributed assembly permutation flow-shop scheduling problem.
Swarm Evol. Comput., 2021
BRB Prediction With Customized Attributes Weights and Tradeoff Analysis for Concurrent Fault Diagnosis.
IEEE Syst. J., 2021
Hybrid Estimation of Distribution Algorithm for Solving Three-Stage Multiobjective Integrated Scheduling Problem.
Complex., 2021
Multidimensional Estimation of Distribution Algorithm for Distributed No-Wait Flow-Shop Scheduling Problem with Sequence-Independent Setup Times and Release Dates.
Proceedings of the Intelligent Computing Theories and Application, 2021
An Improved Lagrangian Relaxation Algorithm for Solving the Lower Bound of Production Logistics.
Proceedings of the Intelligent Computing Theories and Application, 2021
Proceedings of the Intelligent Computing Theories and Application, 2021
Hybrid Whale Optimization Algorithm for Solving Green Open Vehicle Routing Problem with Time Windows.
Proceedings of the Intelligent Computing Theories and Application, 2021
2020
An Enhanced Differential Evolution Algorithm with Fast Evaluating Strategies for TWT-NFSP with SSTs and RTs.
Complex., 2020
A Hybrid Ant Colony Optimization Algorithm for Multi-Compartment Vehicle Routing Problem.
Complex., 2020
2019
A belief-rule-based model for information fusion with insufficient multi-sensor data and domain knowledge using evolutionary algorithms with operator recommendations.
Soft Comput., 2019
An elitist nondominated sorting hybrid algorithm for multi-objective flexible job-shop scheduling problem with sequence-dependent setups.
Knowl. Based Syst., 2019
An effective soft computing technology based on belief-rule-base and particle swarm optimization for tipping paper permeability measurement.
J. Ambient Intell. Humaniz. Comput., 2019
Hybrid Cross-entropy Algorithm for Mixed Model U-shaped Assembly Line Balancing Problem.
Proceedings of the Intelligent Computing Theories and Application, 2019
Proceedings of the Intelligent Computing Theories and Application, 2019
Two-Stage Algorithm for Solving Multi-depot Green Vehicle Routing Problem with Time Window.
Proceedings of the Intelligent Computing Theories and Application, 2019
Whale Optimization Algorithm with Local Search for Open Shop Scheduling Problem to Minimize Makespan.
Proceedings of the Intelligent Computing Theories and Application, 2019
2018
An Effective Soft-Sensor Method Based on Belief-Rule-Base and Differential Evolution for Tipping Paper Permeability Measurement.
Complex., 2018
The Hybrid Shuffle Frog Leaping Algorithm Based on Cuckoo Search for Flow Shop Scheduling with the Consideration of Energy Consumption.
Proceedings of the Intelligent Computing Theories and Application, 2018
Proceedings of the Intelligent Computing Theories and Application, 2018
Hybrid Estimation of Distribution Algorithm for Blocking Flow-Shop Scheduling Problem with Sequence-Dependent Setup Times.
Proceedings of the Intelligent Computing Theories and Application, 2018
Improved Sub-gradient Algorithm for Solving the Lower Bound of No-Wait Flow-Shop Scheduling with Sequence-Dependent Setup Times and Release Dates.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
Carbon-Efficient Scheduling of Blocking Flow Shop by Hybrid Quantum-Inspired Evolution Algorithm.
Proceedings of the Intelligent Computing Theories and Application, 2018
Salp Swarm Algorithm Based on Blocks on Critical Path for Reentrant Job Shop Scheduling Problems.
Proceedings of the Intelligent Computing Theories and Application, 2018
Hybrid Discrete Teaching-Learning-Based Optimization Algorithm for Solving Parallel Machine Scheduling Problem with Multiple Constraints.
Proceedings of the Intelligent Computing Theories and Application, 2018
2017
A copula-based hybrid estimation of distribution algorithm for m-machine reentrant permutation flow-shop scheduling problem.
Appl. Soft Comput., 2017
2016
An Improved Quantum-Inspired Evolution Algorithm for No-Wait Flow Shop Scheduling Problem to Minimize Makespan.
Proceedings of the Intelligent Computing Theories and Application, 2016
Hybrid Estimation of Distribution Algorithm for No-Wait Flow-Shop Scheduling Problem with Sequence-Dependent Setup Times and Release Dates.
Proceedings of the Intelligent Computing Theories and Application, 2016
2014
Improved population-based incremental learning algorithm for vehicle routing problems with soft time windows.
Proceedings of 11th IEEE International Conference on Networking, Sensing and Control, 2014
Bayesian Statistical Inference-Based Estimation of Distribution Algorithm for the Re-entrant Job-Shop Scheduling Problem with Sequence-Dependent Setup Times.
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014
An Enhanced Estimation of Distribution Algorithm for No-Wait Job Shop Scheduling Problem with Makespan Criterion.
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014
2013
Proceedings of the 2013 IEEE Workshop on Memetic Computing, 2013
A Self-adaptive Hybrid Population-Based Incremental Learning Algorithm for M-Machine Reentrant Permutation Flow-Shop Scheduling.
Proceedings of the Intelligent Computing Theories - 9th International Conference, 2013
A hybrid differential evolution algorithm for the multi-objective reentrant job-shop scheduling problem.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013
A DE-based algorithm for reentrant permutation flow-shop scheduling with different job reentrant times.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Scheduling, 2013
2012
Proceedings of the Intelligent Computing Theories and Applications, 2012
2011
Hybrid Differential Evolution Optimization for No-Wait Flow-Shop Scheduling with Sequence-Dependent Setup Times and Release Dates.
Proceedings of the Advanced Intelligent Computing - 7th International Conference, 2011
2010
An effective hybrid particle swarm optimization for batch scheduling of polypropylene processes.
Comput. Chem. Eng., 2010
2009
Multi-objective no-wait flow-shop scheduling with a memetic algorithm based on differential evolution.
Soft Comput., 2009
An effective hybrid DE-based algorithm for multi-objective flow shop scheduling with limited buffers.
Comput. Oper. Res., 2009
A novel differential evolution algorithm for bi-criteria no-wait flow shop scheduling problems.
Comput. Oper. Res., 2009
2008
Differential evolution method for stochastic flow shop scheduling with limited buffers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
Multi-units Unified Process Optimization Under Uncertainty Based on Differential Evolution with Hypothesis Test.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007