Hongtao Tang
Orcid: 0000-0001-5027-8316
According to our database1,
Hongtao Tang
authored at least 39 papers
between 2009 and 2025.
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Bibliography
2025
A multi-objective dynamical artificial bee colony for energy-efficient fuzzy hybrid flow shop scheduling with batch processing machines.
Expert Syst. Appl., 2025
2024
A DQL-NSGA-III algorithm for solving the flexible job shop dynamic scheduling problem.
Expert Syst. Appl., March, 2024
An adaptive artificial bee colony for hybrid flow shop scheduling with batch processing machines in casting process.
Int. J. Prod. Res., 2024
A multi-objective genetic algorithm based on two-stage reinforcement learning for green flexible shop scheduling problem considering machine speed.
Expert Syst. Appl., 2024
TSDRL: A three-stage deep reinforcement learning method for reliable collaboration of manufacturing service towards mass personalized production.
Expert Syst. Appl., 2024
A Multi-Objective Hybrid Algorithm for the Casting Scheduling Problem with Unrelated Batch Processing Machine.
Complex Syst. Model. Simul., 2024
A discrete group teaching optimization algorithm for solving many-objective sand casting whole process production scheduling problem.
Comput. Oper. Res., 2024
A feedback-based artificial bee colony algorithm for energy-efficient flexible flow shop scheduling problem with batch processing machines.
Appl. Soft Comput., 2024
A dynamical teaching-learning-based optimization algorithm for fuzzy energy-efficient parallel batch processing machines scheduling in fabric dyeing process.
Appl. Soft Comput., 2024
A K-means-Teaching Learning based optimization algorithm for parallel machine scheduling problem.
Appl. Soft Comput., 2024
2023
A Novel Model for Dynamic Manufacturing Service Collaboration on Industrial Internet.
IEEE Trans. Ind. Informatics, December, 2023
A novel MILP model and an improved genetic algorithm for disassembly line balancing and sequence planning with partial destructive mode.
Comput. Ind. Eng., December, 2023
Travel time analysis and dimension optimisation design of double-ended compact storage system.
Int. J. Prod. Res., October, 2023
Expert Syst. Appl., September, 2023
An improved cuckoo search algorithm for the hybrid flow-shop scheduling problem in sand casting enterprises considering batch processing.
Comput. Ind. Eng., February, 2023
Solving distributed low carbon scheduling problem for large complex equipment manufacturing using an improved hybrid artificial bee colony algorithm.
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
Research on the Integration and Scheduling of AGVs and Machines in Sample Testing Laboratory.
IEEE Access, 2023
2022
Integrating Multi-Index Materials Classification and Inventory Control in Discrete Manufacturing Industry: Using a Hybrid ABC-Chaos Algorithm.
IEEE Trans. Engineering Management, 2022
Research on flexible job-shop scheduling problem in green sustainable manufacturing based on learning effect.
J. Intell. Manuf., 2022
Consistency Analysis and Accuracy Assessment of Three Global Ten-Meter Land Cover Products in Rocky Desertification Region - A Case Study of Southwest China.
ISPRS Int. J. Geo Inf., 2022
Manufacturing service recommendation method toward industrial internet platform considering the cooperative relationship among enterprises.
Expert Syst. Appl., 2022
A hybrid imperialist competitive algorithm for energy-efficient flexible job shop scheduling problem with variable-size sublots.
Comput. Ind. Eng., 2022
A hybrid teaching and learning-based optimization algorithm for distributed sand casting job-shop scheduling problem.
Appl. Soft Comput., 2022
Interval forecasting for urban water demand using PSO optimized KDE distribution and LSTM neural networks.
Appl. Soft Comput., 2022
2021
A Novel Intelligent Fault Diagnosis Method for Rolling Bearings Based on Wasserstein Generative Adversarial Network and Convolutional Neural Network under Unbalanced Dataset.
Sensors, 2021
Joint Optimization of Multiprocess Routes and Layout for Low Entropy Flexible Facility.
Comput. Intell. Neurosci., 2021
IEEE Access, 2021
2020
A hybrid algorithm combining genetic algorithm and variable neighborhood search for process sequencing optimization of large-size problem.
Int. J. Comput. Integr. Manuf., 2020
Study of optimal order policy for a multi-period multi-raw material inventory management problem under carbon emission constraint.
Comput. Ind. Eng., 2020
Integrated Optimization Approach of Hybrid Flow-Shop Scheduling Based on Process Set.
IEEE Access, 2020
2019
An effective hybrid discrete grey wolf optimizer for the casting production scheduling problem with multi-objective and multi-constraint.
Comput. Ind. Eng., 2019
Flexible job-shop scheduling with tolerated time interval and limited starting time interval based on hybrid discrete PSO-SA: An application from a casting workshop.
Appl. Soft Comput., 2019
2017
An optimizing model to solve the nesting problem of rectangle pieces based on genetic algorithm.
J. Intell. Manuf., 2017
2009
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009