Research of 3D Representation Theory and Technology of Geographic Information. - Lan Guo; Youyi Jiang; Yongchong Yang; Hongtao Tang (CSIE (2), 2009)

An optimizing model to solve the nesting problem of rectangle pieces based on genetic algorithm. - Hongtao Tang; Xixing Li; Shunsheng Guo; Shuwei Liu; Li Li; Lang Huang 003 (J. Intell. Manuf., 2017)

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. - Hongtao Tang; Rong Chen; Yibing Li 002; Zhao Peng; Shunsheng Guo; Yuzhu Du (Appl. Soft Comput., 2019)

An effective hybrid discrete grey wolf optimizer for the casting production scheduling problem with multi-objective and multi-constraint. - Hongbin Qin; Pengfei Fan; Hongtao Tang; Pan Huang; Bo Fang; Shunfa Pan (Comput. Ind. Eng., 2019)

Integrated Optimization Approach of Hybrid Flow-Shop Scheduling Based on Process Set. - Xixing Li; Hongtao Tang; Zhipeng Yang; Rui Wu 004; Yabo Luo (IEEE Access, 2020)

Flaring Forming of Small Tube Based on Electromagnetic Attraction. - Qi Xiong; Meng Yang; Hongtao Tang; Hao Huang; Xianqi Song; Li Qiu 002; Kun Yu; Quanliang Cao (IEEE Access, 2020)

Study of optimal order policy for a multi-period multi-raw material inventory management problem under carbon emission constraint. - Xiaoling Gao; Shiyi Chen; Hongtao Tang; Haitao Zhang (Comput. Ind. Eng., 2020)

A hybrid algorithm combining genetic algorithm and variable neighborhood search for process sequencing optimization of large-size problem. - Yabo Luo; Yuling Pan; Cunrong Li; Hongtao Tang (Int. J. Comput. Integr. Manuf., 2020)

Research on Equipment Configuration Optimization of AGV Unmanned Warehouse. - Hongtao Tang; Xiaoya Cheng; Weiguang Jiang; Shouwu Chen (IEEE Access, 2021)

Joint Optimization of Multiprocess Routes and Layout for Low Entropy Flexible Facility. - Hongtao Tang; Senli Ren; Weiguang Jiang; Jiajiong Liang; Qingfeng Chen (Comput. Intell. Neurosci., 2021)

A Novel Intelligent Fault Diagnosis Method for Rolling Bearings Based on Wasserstein Generative Adversarial Network and Convolutional Neural Network under Unbalanced Dataset. - Hongtao Tang; Shengbo Gao; Lei Wang 090; Xixing Li; Bing Li; Shibao Pang (Sensors, 2021)

Optimization of Multi-Objective Unequal Area Facility Layout. - Hongtao Tang; Senli Ren; Weiguang Jiang; Qingfeng Chen (IEEE Access, 2022)

Interval forecasting for urban water demand using PSO optimized KDE distribution and LSTM neural networks. - Baigang Du; Shuo Huang; Jun Guo; Hongtao Tang; Lei Wang 090; Shengwen Zhou (Appl. Soft Comput., 2022)

A hybrid teaching and learning-based optimization algorithm for distributed sand casting job-shop scheduling problem. - Hongtao Tang; Bo Fang; Rong Liu; Yibing Li 002; Shunsheng Guo (Appl. Soft Comput., 2022)

Survey of integrated flexible job shop scheduling problems. - Xixing Li; Xing Guo; Hongtao Tang; Rui Wu 004; Lei Wang 090; Shibao Pang; Zhengchao Liu; Wenxiang Xu; Xin Li (Comput. Ind. Eng., 2022)

A hybrid imperialist competitive algorithm for energy-efficient flexible job shop scheduling problem with variable-size sublots. - Yibing Li 002; Zipeng Yang; Lei Wang 090; Hongtao Tang; Libo Sun; Shunsheng Guo (Comput. Ind. Eng., 2022)

Manufacturing service recommendation method toward industrial internet platform considering the cooperative relationship among enterprises. - Lei Wang 090; Tianyi Gao; Bin Zhou; Hongtao Tang; Feng Xiang (Expert Syst. Appl., 2022)

Consistency Analysis and Accuracy Assessment of Three Global Ten-Meter Land Cover Products in Rocky Desertification Region - A Case Study of Southwest China. - Jun Wang 143; Xiaomei Yang; Zhihua Wang 006; Hongbin Cheng; Junmei Kang; Hongtao Tang; Yan Li; Zongpan Bian; Zhuoli Bai (ISPRS Int. J. Geo Inf., 2022)

Research on flexible job-shop scheduling problem in green sustainable manufacturing based on learning effect. - Zhao Peng; Huan Zhang; Hongtao Tang; Yue Feng; Weiming Yin (J. Intell. Manuf., 2022)

Integrating Multi-Index Materials Classification and Inventory Control in Discrete Manufacturing Industry: Using a Hybrid ABC-Chaos Algorithm. - Hongtao Tang; Haitao Zhang; Rong Liu; Yuzhu Du (IEEE Trans. Engineering Management, 2022)

Research on the Integration and Scheduling of AGVs and Machines in Sample Testing Laboratory. - Hongtao Tang; Jiawei Wang; Zhixiong Yang 005 (IEEE Access, 2023)

A Q-learning artificial bee colony for distributed assembly flow shop scheduling with factory eligibility, transportation capacity and setup time. - Jing Wang; Hongtao Tang; Deming Lei (Eng. Appl. Artif. Intell., 2023)

An imperialist competitive algorithm for distributed assembly flowshop scheduling with Pm → 1 layout and transportation. - Deming Lei; Haoyang Du; Hongtao Tang (J. Intell. Fuzzy Syst., 2023)

Solving distributed low carbon scheduling problem for large complex equipment manufacturing using an improved hybrid artificial bee colony algorithm. - Wenxiang Xu; Lei Wang 090; Dezheng Liu; Hongtao Tang; Yibing Li 002 (J. Intell. Fuzzy Syst., 2023)

An improved cuckoo search algorithm for the hybrid flow-shop scheduling problem in sand casting enterprises considering batch processing. - Xixing Li; Xing Guo; Hongtao Tang; Rui Wu 004; Jiayi Liu (Comput. Ind. Eng., 2023)

Solving many-task optimization problems via online intertask learning. - Jiajun Zhou; Shijie Rao; Liang Gao 001; Chunjiang Zhang; Hongtao Tang; Yun Li 002; Felix T. S. Chan (Expert Syst. Appl., 2023)

Travel time analysis and dimension optimisation design of double-ended compact storage system. - Qing Yan; Jiansha Lu; Hongtao Tang; Yan Zhan; Xuemei Zhang; Yingde Li (Int. J. Prod. Res., 2023)

A novel MILP model and an improved genetic algorithm for disassembly line balancing and sequence planning with partial destructive mode. - Kaipu Wang; Jun Guo; Baigang Du; Yibing Li 002; Hongtao Tang; Xinyu Li 001; Liang Gao 001 (Comput. Ind. Eng., 2023)

A Novel Model for Dynamic Manufacturing Service Collaboration on Industrial Internet. - Lei Wang 090; Zhengda Luo; Hongtao Tang; Shunsheng Guo; Xixing Li (IEEE Trans. Ind. Informatics, 2023)

A K-means-Teaching Learning based optimization algorithm for parallel machine scheduling problem. - Yibing Li 002; Jie Liu 062; Lei Wang 090; Jinfu Liu; Hongtao Tang; Jun Guo; Wenxiang Xu (Appl. Soft Comput., 2024)

A dynamical teaching-learning-based optimization algorithm for fuzzy energy-efficient parallel batch processing machines scheduling in fabric dyeing process. - Jing Wang; Debiao Li; Hongtao Tang; Xixing Li; Deming Lei (Appl. Soft Comput., 2024)

A feedback-based artificial bee colony algorithm for energy-efficient flexible flow shop scheduling problem with batch processing machines. - Jing Wang; Hongtao Tang; Deming Lei (Appl. Soft Comput., 2024)

A discrete group teaching optimization algorithm for solving many-objective sand casting whole process production scheduling problem. - Hongtao Tang; Wei Zhang 254; Xixing Li; Shupeng Wei (Comput. Oper. Res., 2024)

A Multi-Objective Hybrid Algorithm for the Casting Scheduling Problem with Unrelated Batch Processing Machine. - Wei Zhang 254; Hongtao Tang; Wenyi Wang; Mengzhen Zhuang; Deming Lei; Xi Vincent Wang (Complex Syst. Model. Simul., 2024)

TSDRL: A three-stage deep reinforcement learning method for reliable collaboration of manufacturing service towards mass personalized production. - Xin Luo; Chunrong Pan; Zhengchao Liu; Lei Wang; Hongtao Tang; Zhen Zhang; Decan Zeng (Expert Syst. Appl., 2024)

A multi-objective genetic algorithm based on two-stage reinforcement learning for green flexible shop scheduling problem considering machine speed. - Mengzhen Zhuang; Wei Zhang 254; Hongtao Tang; Xinyu Li 001; Kaipu Wang (Expert Syst. Appl., 2024)

An adaptive artificial bee colony for hybrid flow shop scheduling with batch processing machines in casting process. - Jing Wang; Deming Lei; Hongtao Tang (Int. J. Prod. Res., 2024)

A DQL-NSGA-III algorithm for solving the flexible job shop dynamic scheduling problem. - Hongtao Tang; Yu Xiao; Wei Zhang 254; Deming Lei; Jing Wang; Tao Xu (Expert Syst. Appl., 2024)

Improved discrete particle swarm optimization algorithm for solving fuzzy flexible job shop machines and automated guided vehicles fusion scheduling problem. - Rui Wu 004; Zheng Tian; Xixing Li; Chenchen Wu; Hongtao Tang; Yibing Li 002 (Eng. Appl. Artif. Intell., 2025)

A multi-objective dynamical artificial bee colony for energy-efficient fuzzy hybrid flow shop scheduling with batch processing machines. - Jing Wang; Deming Lei; Hongtao Tang (Expert Syst. Appl., 2025)

Dynamic scheduling for flexible job shop under machine breakdown using Improved Double Deep Q-network. - Rui Wu 004; Jianxin Zheng; Xixing Li; Hongtao Tang; Xi Vincent Wang; Yibing Li 002 (Expert Syst. Appl., 2025)

Integrated scheduling of multi-objective lot-streaming hybrid flowshop with AGV based on deep reinforcement learning. - Hongtao Tang; Jiawei Huang; Chenhao Ren; Yiping Shao; Jiansha Lu (Int. J. Prod. Res., 2025)

Hybrid artificial bee colony algorithm with Q-learning for distributed heterogeneous flexible job shop scheduling problem considering machine preventive maintenance. - Rui Wu; Enzhuang Luo; Xixing Li; Hongtao Tang; Yibing Li (Swarm Evol. Comput., 2025)

An improved shuffled frog leaping algorithm based on support vector machine for hybrid flow shop rescheduling with disturbance prediction. - Wei Zhang 254; Shaofeng Yan; Hongtao Tang; Xing Li; Deming Lei (Swarm Evol. Comput., 2025)

An adaptive optimization method for reliable encapsulation of manufacturing service based on a graph convolution network with multi-dimensional feature fusion. - Zhengchao Liu; Yongjun Cheng; Chunrong Pan; Lei Wang; Hongtao Tang; Zhihao Zeng (Expert Syst. Appl., 2026)