Hongtao Tang

发表

Joint Optimization of Multiprocess Routes and Layout for Low Entropy Flexible Facility

Hongtao Tang, Senli Ren, Weiguang Jiang, 2021, Comput. Intell. Neurosci..

Optimization of Multi-Objective Unequal Area Facility Layout

Hongtao Tang, Senli Ren, Weiguang Jiang, 2022, IEEE Access.

A hybrid imperialist competitive algorithm for energy-efficient flexible job shop scheduling problem with variable-size sublots

Shunsheng Guo, Hongtao Tang, Libo Sun, 2022, Comput. Ind. Eng..

Survey of integrated flexible job shop scheduling problems

Rui Wu, Hongtao Tang, Xin Li, 2022, Comput. Ind. Eng..

Interval forecasting for urban water demand using PSO optimized KDE distribution and LSTM neural networks

B. Du, Hongtao Tang, Jun Guo, 2022, Appl. Soft Comput..

Solving distributed low carbon scheduling problem for large complex equipment manufacturing using an improved hybrid artificial bee colony algorithm

Hongtao Tang, Dezheng Liu, Yibing Li, 2023, J. Intell. Fuzzy Syst..

An effective hybrid discrete grey wolf optimizer for the casting production scheduling problem with multi-objective and multi-constraint

Bo Fang, Pan Huang, Pengfei Fan, 2019, Comput. Ind. Eng..

A Q-learning artificial bee colony for distributed assembly flow shop scheduling with factory eligibility, transportation capacity and setup time

Deming Lei, Hongtao Tang, Jing Wang, 2023, Eng. Appl. Artif. Intell..

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

Rong Chen, Zhao Peng, Yibing Li, 2019, Appl. Soft Comput..

A hybrid teaching and learning-based optimization algorithm for distributed sand casting job-shop scheduling problem

Shunsheng Guo, Hongtao Tang, Yibing Li, 2022, Appl. Soft Comput..

An improved cuckoo search algorithm for the hybrid flow-shop scheduling problem in sand casting enterprises considering batch processing

Rui Wu, Jiayi Liu, Hongtao Tang, 2022, Comput. Ind. Eng..

A Novel Intelligent Fault Diagnosis Method for Rolling Bearings Based on Wasserstein Generative Adversarial Network and Convolutional Neural Network under Unbalanced Dataset

Xixing Li, Bing Li, Hongtao Tang, 2021, Sensors.

Research on Equipment Configuration Optimization of AGV Unmanned Warehouse

Hongtao Tang, Xiaoya Cheng, Weiguang Jiang, 2021, IEEE Access.

Hybrid Flow-Shop Scheduling Problems with Missing and Re-Entrant Operations Considering Process Scheduling and Production of Energy Consumption

Yiping Shao, Hongtao Tang, Jiahao Zhou, 2023, Sustainability.

An automatic assembly CAD system of plastic profile calibrating die based on feature recognition

Yibing Li, Qiao Guo, Jinting Zhang, 2016 .

Study of optimal order policy for a multi-period multi-raw material inventory management problem under carbon emission constraint

Hongtao Tang, Xiaoling Gao, Shiyi Chen, 2020, Comput. Ind. Eng..

Travel time analysis and dimension optimisation design of double-ended compact storage system

Hongtao Tang, Jiansha Lu, Yingde Li, 2022, International Journal of Production Research.

A hybrid algorithm combining genetic algorithm and variable neighborhood search for process sequencing optimization of large-size problem

Yabo Luo, Cunrong Li, Hongtao Tang, 2020, Int. J. Comput. Integr. Manuf..

An optimizing model to solve the nesting problem of rectangle pieces based on genetic algorithm

Li Li, Lang Huang, Xixing Li, 2017, J. Intell. Manuf..

An optimizing model to solve the nesting problem of rectangle pieces based on genetic algorithm

Shunsheng Guo, Lang Huang, Hongtao Tang, 2015, Journal of Intelligent Manufacturing.

An imperialist competitive algorithm for distributed assembly flowshop scheduling with Pm → 1 layout and transportation

Deming Lei, Hongtao Tang, Haoyang Du, 2023, J. Intell. Fuzzy Syst..

Research on Green Reentrant Hybrid Flow Shop Scheduling Problem Based on Improved Moth-Flame Optimization Algorithm

Lei Wang, Wenfang Xing, Hongtao Tang, 2022, Processes.