张闻强｜河南工业大学｜学者主页

2026

Hybrid multiobjective particle swarm optimization with Q-learning-guided global search for dual-resource distributed heterogeneous hybrid flow-shop scheduling with setup times

Wenqiang Zhang, Mingzhe Li, Xixi Li, Yashuang Mu, Guohui Zhang, Mitsuo Gen

Expert Systems With Applications，Vol. 306

DOI

2026

A hybrid multiobjective particle swarm optimization with Q-learning-driven local search for distributed heterogeneous hybrid flow-shop scheduling problem with worker-machine-environment collaboration

Wenqiang Zhang, Sen Yang, Mingzhe Li, Yashuang Mu, Guohui Zhang, Mitsuo Gen, Peng Li

Journal Of Manufacturing Systems，Vol. 850

DOI

2026

An evolutionary algorithm with neighborhood structure incorporating reinforcement learning for dual resource constrained flexible job shop scheduling problem with worker transportation fatigue

Guohui Zhang, Deyu Zhang, Zhixiao Li, Nana Yu, Wenqiang Zhang

Expert Systems With Applications，Vol. 301

DOI

2026

A hybrid neural network integrating attention mechanism for time series and non-time series multi-factor electric vehicle energy consumption prediction

Wenqiang Zhang, Ruisheng Chai, Mingzhe Li, Yashuang Mu, Peng Li, Mitsuo Gen

Frontiers in Industrial Engineering

DOI

2026

Multi-objective evolutionary algorithm based on reinforcement learning for flexible job shop scheduling with limited transportation resources

Yihao Cai, Guohui Zhang, Nana Yu, Wenqiang Zhang, Zhengfeng Li

Applied Soft Computing

DOI

2026

Environment-Aware Deep Reinforcement Learning for Flexible Manufacturing System With Multiautonomous Mobile Robot

Chen Li, Xuze Qiu, Lin Lin, Wenqiang Zhang, Mitsuo Gen

IEEE Transactions on Industrial Informatics

DOI

2025

Graph neural network and expert-guided deep reinforcement learning for solving flexible job-shop scheduling problem

Wenqiang Zhang, Xuan Bao, Huili Geng, Guohui Zhang, Mitsuo Gen

Computers & Operations Research，Vol. 183

DOI

2025

Noise Fusion-based Distillation Learning for Anomaly Detection in Complex Industrial Environments

Jiawen Yu, Jie-Ji Ren, Yang Chang, Qiao-Jun Yu, Xuan Tong, Boyang Wang, Yan Song, You Li, Xin-Ji Mai, Wenqiang Zhang

IEEE/RJS International Conference on Intelligent RObots and Systems

DOI

2025

ForceVLA: Enhancing VLA Models with a Force-aware MoE for Contact-rich Manipulation

Jiawen Yu, Hai-Ruo Liu, Qiao-Jun Yu, Jie-Ji Ren, Ce Hao, Haitong Ding, Guang-Yu Huang, Guo-Fan Huang, Yan Song, Pan-Pan Cai, Wenqiang Zhang, Ce-Wu Lu

Neural Information Processing Systems

DOI

2025

GRU-DNN Hybrid Network for Multifactor Electric Vehicle Energy Consumption Prediction

Wenqiang Zhang, Mingzhe Li, Shun Li, Yashuang Mu, Miaolei Deng

Lecture notes in electrical engineering

DOI

2025

An evolutionary knowledge training-based proximal policy optimization algorithm for job shop scheduling in flexible intelligent manufacturing

Chen Li, Xiyan Zhao, Lin Lin, Wenqiang Zhang, Mitsuo Gen, Qing Zhang

Computers & Industrial Engineering

DOI

2025

Evolutionary experience-guided deep reinforcement learning for job shop scheduling with AGV transportation constraints in flexible manufacturing system

Chen Li, Lin Lin, Xuze Qiu, Xiyan Zhao, Wenqiang Zhang, Mitsuo Gen

Computers & Industrial Engineering

DOI

2025

Deep reinforcement learning with evolutionary algorithm-guided imitation for capacitated vehicle routing problems

Wenqiang Zhang, Xiaomeng Wang, Yangyong Mu, Miaolei Deng, Peng Li

Applied Soft Computing

DOI

2025

Multi-agent reinforcement learning for flexible shop scheduling problem: a survey

Weitao Xu, Jinghan Gu, Wenqiang Zhang, Mitsuo Gen, Hayato Ohwada

Frontiers in Industrial Engineering

DOI

2025

A knowledge-guided evolutionary algorithm incorporating reinforcement learning for energy efficient dynamic flexible job shop scheduling problem with machine breakdowns

Zhixiao Li, Guohui Zhang, Nana Yu, Shenghui Guo, Wenqiang Zhang

Swarm and Evolutionary Computation

DOI

2025

Q-Learning Driven Multi-objective Hybrid PSO for Distributed Heterogeneous Hybrid Flow-shop Scheduling Problem

Wenqiang Zhang, Xuan Bao, Mingzhe Li, Xixi Li

IEEE Congress on Evolutionary Computation (CEC)

DOI

2025

Multi-stage hybrid multiobjective evolutionary algorithm for multi-type vehicle routing problem with simultaneous pickup and delivery and time windows

Wenqiang Zhang, Shun Li, Miaolei Deng, Yashuang Mu, Peng Li

Computers & Industrial Engineering

DOI

2025

Metaheuristics for multi-objective scheduling problems in industry 4.0 and 5.0: a state-of-the-arts survey

Wenqiang Zhang, Xuan Bao, Xinchang Hao, Mitsuo Gen

Frontiers in Industrial Engineering

DOI

2024

A multiobjective memetic algorithm with particle swarm optimization and Q-learning-based local search for energy-efficient distributed heterogeneous hybrid flow-shop scheduling problem

Wenqiang Zhang, Chen Li, Mitsuo Gen, Weidong Yang, Guohui Zhang

Expert Systems With Applications，Vol. 237

DOI

2024

基于物联网技术的智能家居场景设计

杨森，张闻强

《物联网技术》

2024

集配一体化车辆路径规划的混合进化多目标优化

张闻强，王晓萌，张晓晓，张国辉

《系统仿真学报》

DOI

2024

Enhancing multi-objective evolutionary algorithms with machine learning for scheduling problems: recent advances and survey

Wenqiang Zhang, Guanwei Xiao, Mitsuo Gen, Huili Geng, Xiaomeng Wang, Miaolei Deng, Guohui Zhang

Frontiers in Industrial Engineering

DOI

2024

Expert-Guided Deep Reinforcement Learning for Flexible Job Shop Scheduling Problem

Wenqiang Zhang, Huili Geng, Xuan Bao, Mitsuo Gen, Guohui Zhang, Miaolei Deng

Communications in computer and information science

DOI

2023

Dual Cross-Attention for Video Object Segmentation via Uncertainty Refinement

Jiahao Hong, Wei Zhang, Zhi-Ao Feng, Wenqiang Zhang

IEEE transactions on multimedia

DOI

2023

Learning to Optimize Vehicle Routes Problem: A Two-Stage Hybrid Reinforcement Learning

Wenqiang Zhang, Xiaomeng Wang

International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

DOI

2023

Q-learning-based multi-objective particle swarm optimization with local search within factories for energy-efficient distributed flow-shop scheduling problem

Wenqiang Zhang, Huili Geng, Chen Li, Mitsuo Gen, Guohui Zhang, Miaolei Deng

Journal of Intelligent Manufacturing

DOI

2023

Hybrid Enhanced Evolutionary Algorithm with Differential Evolution for Distributed No-Wait Flow-Shop Scheduling Problem

Kai Steven Ellie, Wenqiang Zhang

International Journal for Research in Applied Science and Engineering Technology

DOI

2023

An improved ant colony optimization for solving the flexible job shop scheduling problem with multiple time constraints

Shaofeng Yan, Guohui Zhang, Jinghe Sun, Wenqiang Zhang

Mathematical Biosciences & Engineering

DOI

2023

Multi-stage hybrid evolutionary algorithm for multiobjective distributed fuzzy flow-shop scheduling problem

Wenqiang Zhang, Xiaoxiao Zhang, Xinchang Hao, Mitsuo Gen, Guohui Zhang, Weidong Yang

Mathematical Biosciences & Engineering

DOI

2022

An effective two-stage algorithm based on convolutional neural network for the bi-objective flexible job shop scheduling problem with machine breakdown

Guohui Zhang, Xixi Lu, Xing Liu, Litao Zhang, Shiwen Wei, Wenqiang Zhang

Expert Systems With Applications，Vol. 203

DOI

2022

Energy-Saving Oriented Manufacturing Workshop Facility Layout: A Solution Approach Using Multi-Objective Particle Swarm Optimization

Zhongwei Zhang, Lihui Wu, Zhaoyun Wu, Wenqiang Zhang, Shun Jia, Tao Peng

Sustainability，Vol. 14, No. 5

DOI

2022

FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos

Yan Wang, Yixuan Sun, Yi-Wen Huang, Zhongying Liu, Shuyong Gao, Wei Zhang, Weifeng Ge, Wenqiang Zhang

Computer Vision and Pattern Recognition

DOI

2022

LVOS: A Benchmark for Long-term Video Object Segmentation

Li Hong, Wen-Chao Chen, Zhongying Liu, Wei Zhang, Pin-Xue Guo, Zhaoyu Chen, Wenqiang Zhang

IEEE International Conference on Computer Vision

DOI

2022

Weakly-Supervised Salient Object Detection Using Point Supervison

Shuyong Gao, Wei Zhang, Yan Wang, Qian-Yu Guo, Chenglong Zhang, Yang He, Wenqiang Zhang

AAAI Conference on Artificial Intelligence

DOI

2022

A Systematic Review on Affective Computing: Emotion Models, Databases, and Recent Advances

Yan Wang, Weizhen Song, Wei Tao, A. Liotta, Dawei Yang, Xinlei Li, Shuyong Gao, Yixuan Sun, Weifeng Ge, Wei Zhang, Wenqiang Zhang

Information Fusion

DOI

2022

Weakly Supervised Video Salient Object Detection via Point Supervision

Shuyong Gao, Hao Xing, Wei Zhang, Yan Wang, Qian-Yu Guo, Wenqiang Zhang

ACM Multimedia

DOI

2022

Hybrid multiobjective evolutionary algorithm considering combination timing for multi-type vehicle routing problem with time windows

Wenqiang Zhang, Haoran Li, Weidong Yang, Guohui Zhang, Mitsuo Gen

Computers & Industrial Engineering

DOI

2022

Multiobjective particle swarm optimization with direction search and differential evolution for distributed flow-shop scheduling problem

Wenqiang Zhang, Chen Li, Mitsuo Gen, Weidong Yang, Zhongwei Zhang, Guohui Zhang

Mathematical Biosciences & Engineering

DOI

2022

Hybrid evolutionary algorithm with sequence difference-based differential evolution for multi-objective fuzzy flow-shop scheduling problem

Wenqiang Zhang, Chen Li, Weidong Yang, Mitsuo Gen

International Journal of Internet Manufacturing and Services

DOI

2021

A hybrid many-objective evolutionary algorithm for flexible job-shop scheduling problem with transportation and setup times

Jinghe Sun, Guohui Zhang, Jiao Lu, Wenqiang Zhang

Computers & Operations Research，Vol. 132

DOI

2021

Efficient Pose: Efficient human pose estimation with neural architecture search

Wenqiang Zhang, Jiemin Fang, Xinggang Wang, Wenyu Liu

Computational Visual Media

2021

Adaptive Selection of Reference Frames for Video Object Segmentation

Li Hong, Wei Zhang, Liangyu Chen, Wenqiang Zhang, Jian-Ping Fan

IEEE Transactions on Image Processing

DOI

2021

Dual-Stream Network Based On Global Guidance for Salient Object Detection

Shuyong Gao, Qian-Yu Guo, Wei Zhang, Wenqiang Zhang, Zhongwei Ji

IEEE International Conference on Acoustics, Speech, and Signal Processing

DOI

2021

Attention Driven Self-Similarity Capture for Motion Deblurring

Jie Zhang, Chuanfa Zhang, Jiangzhou Wang, Qingyue Xiong, Ying-Tao Zhang, Wenqiang Zhang

IEEE International Conference on Multimedia and Expo

DOI

2021

Global Cognition and Local Perception Network for Blind Image Deblurring

Chuanfa Zhang, W. Zhang, Feiyu Chen, Yiting Cheng, Shuyong Gao, Wenqiang Zhang

Conference on Multimedia Modeling

DOI

2021

Multidirection Update-Based Multiobjective Particle Swarm Optimization for Mixed No-Idle Flow-Shop Scheduling Problem

Wenqiang Zhang, Wenlin Hou, Chen Li, Weidong Yang, Mitsuo Gen

Complex System Modeling and Simulation

DOI

2021

Energy-efficient path planning for a single-load automated guided vehicle in a manufacturing workshop

Zhongwei Zhang, Lihui Wu, Wenqiang Zhang, Tao Peng, Jun Zheng

Computers & Industrial Engineering

DOI

2020

Hybrid multiobjective evolutionary algorithm with fast sampling strategy-based global search and route sequence difference-based local search for VRPTW

Wenqiang Zhang, Diji Yang, Guohui Zhang, Mitsuo Gen

Expert Systems With Applications，Vol. 145

DOI

2020

An improved genetic algorithm for the flexible job shop scheduling problem with multiple time constraints

Guohui Zhang, Yifan Hu, Jinghe Sun, Wenqiang Zhang

Swarm and Evolutionary Computation

DOI

2019

Multiobjective Evolutionary Algorithm based on Fast Elite Sampling Strategy and Difference-based Local Search for VRPTW

Wenqiang Zhang, Diji Yang, Weidong Yang, Zhan Qian, Mitsuo Gen

Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics

DOI

2019

Multiobjective PSO Algorithm with Multi-directional Convergence Strategy to Solve Flow Shop Scheduling Problems

Wenqiang Zhang, Wenlin Hou, Diji Yang, Zheng Xing, Mitsuo Gen

Advances in intelligent systems and computing

DOI

2018

基于混合多目标差分进化的流水车间调度问题研究

王宇，张闻强

《计算机应用与软件》

2018

Incentive-aware virtual machine scheduling in cloud computing

Heyang Xu, Yang Liu, Wei Wei, Wenqiang Zhang

The Journal of Supercomputing

DOI

2017

Fast Multiobjective Hybrid Evolutionary Algorithm Based on Mixed Sampling Strategy

Wenqiang Zhang, Yu Wang, Chunxiao Wang, Le Xiao, Mitsuo Gen

Springer eBooks

DOI

2017

Hybrid Multiobjective Evolutionary Algorithm with Differential Evolution for Process Planning and Scheduling Problem

Chunxiao Wang, Wenqiang Zhang, Le Xiao, Mitsuo Gen

Springer eBooks

DOI

2017

Recent advances in hybrid evolutionary algorithms for multiobjective manufacturing scheduling

Mitsuo Gen, Wenqiang Zhang, Lin Lin, YoungSu Yun

Computers & Industrial Engineering

DOI

2016

基于NSGA-Ⅱ的进化算法学习研究

王宇，张闻强，赵文君

《福建电脑》

2015

A Hybrid Algorithm Combining Ant Colony Algorithm and Genetic Algorithm for Dynamic Web Service Composition

Chenyang Zhao, Jun-Ling Wang, Jie Qin, Wenqiang Zhang

The Open Cybernetics & Systemics Journal

DOI

2015

An effective hybrid evolutionary algorithm for stochastic multiobjective assembly line balancing problem

Wenqiang Zhang, Weitao Xu, Gang Liu, Mitsuo Gen

Journal of Intelligent Manufacturing

DOI

2014

Hybrid Multiobjective Evolutionary Algorithm for Assembly Line Balancing Problem with Stochastic Processing Time

Wenqiang Zhang, Weitao Xu, Mitsuo Gen

Procedia Computer Science

DOI

2013

Hybrid sampling strategy-based multiobjective evolutionary algorithm for process planning and scheduling problem

Wenqiang Zhang, Mitsuo Gen, Jungbok Jo

Journal of Intelligent Manufacturing

DOI

2013

Multi-objective Evolutionary Algorithm with Strong Convergence of Multi-area for Assembly Line Balancing Problem with Worker Capability

Wenqiang Zhang, Weitao Xu, Mitsuo Gen

Procedia Computer Science

DOI

2012

Hybrid Sampling Strategy-based Multiobjective Evolutionary Algorithm

Wenqiang Zhang, Lin Lin, Mitsuo Gen, Chen–Fu Chien

Procedia Computer Science

DOI

精选作品

期刊论文

Hybrid multiobjective particle swarm optimization with Q-learning-guided global search for dual-resource distributed heterogeneous hybrid flow-shop scheduling with setup times

A hybrid multiobjective particle swarm optimization with Q-learning-driven local search for distributed heterogeneous hybrid flow-shop scheduling problem with worker-machine-environment collaboration

An evolutionary algorithm with neighborhood structure incorporating reinforcement learning for dual resource constrained flexible job shop scheduling problem with worker transportation fatigue

A hybrid neural network integrating attention mechanism for time series and non-time series multi-factor electric vehicle energy consumption prediction

Multi-objective evolutionary algorithm based on reinforcement learning for flexible job shop scheduling with limited transportation resources

Environment-Aware Deep Reinforcement Learning for Flexible Manufacturing System With Multiautonomous Mobile Robot

Graph neural network and expert-guided deep reinforcement learning for solving flexible job-shop scheduling problem

Noise Fusion-based Distillation Learning for Anomaly Detection in Complex Industrial Environments

ForceVLA: Enhancing VLA Models with a Force-aware MoE for Contact-rich Manipulation

GRU-DNN Hybrid Network for Multifactor Electric Vehicle Energy Consumption Prediction

An evolutionary knowledge training-based proximal policy optimization algorithm for job shop scheduling in flexible intelligent manufacturing

Evolutionary experience-guided deep reinforcement learning for job shop scheduling with AGV transportation constraints in flexible manufacturing system

Deep reinforcement learning with evolutionary algorithm-guided imitation for capacitated vehicle routing problems

Multi-agent reinforcement learning for flexible shop scheduling problem: a survey

A knowledge-guided evolutionary algorithm incorporating reinforcement learning for energy efficient dynamic flexible job shop scheduling problem with machine breakdowns

Q-Learning Driven Multi-objective Hybrid PSO for Distributed Heterogeneous Hybrid Flow-shop Scheduling Problem

Multi-stage hybrid multiobjective evolutionary algorithm for multi-type vehicle routing problem with simultaneous pickup and delivery and time windows

Metaheuristics for multi-objective scheduling problems in industry 4.0 and 5.0: a state-of-the-arts survey

A multiobjective memetic algorithm with particle swarm optimization and Q-learning-based local search for energy-efficient distributed heterogeneous hybrid flow-shop scheduling problem

基于物联网技术的智能家居场景设计

集配一体化车辆路径规划的混合进化多目标优化

Enhancing multi-objective evolutionary algorithms with machine learning for scheduling problems: recent advances and survey

Expert-Guided Deep Reinforcement Learning for Flexible Job Shop Scheduling Problem

Dual Cross-Attention for Video Object Segmentation via Uncertainty Refinement

Learning to Optimize Vehicle Routes Problem: A Two-Stage Hybrid Reinforcement Learning

Q-learning-based multi-objective particle swarm optimization with local search within factories for energy-efficient distributed flow-shop scheduling problem

Hybrid Enhanced Evolutionary Algorithm with Differential Evolution for Distributed No-Wait Flow-Shop Scheduling Problem

An improved ant colony optimization for solving the flexible job shop scheduling problem with multiple time constraints

Multi-stage hybrid evolutionary algorithm for multiobjective distributed fuzzy flow-shop scheduling problem

An effective two-stage algorithm based on convolutional neural network for the bi-objective flexible job shop scheduling problem with machine breakdown

Energy-Saving Oriented Manufacturing Workshop Facility Layout: A Solution Approach Using Multi-Objective Particle Swarm Optimization

FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos

LVOS: A Benchmark for Long-term Video Object Segmentation

Weakly-Supervised Salient Object Detection Using Point Supervison

A Systematic Review on Affective Computing: Emotion Models, Databases, and Recent Advances

Weakly Supervised Video Salient Object Detection via Point Supervision

Hybrid multiobjective evolutionary algorithm considering combination timing for multi-type vehicle routing problem with time windows

Multiobjective particle swarm optimization with direction search and differential evolution for distributed flow-shop scheduling problem

Hybrid evolutionary algorithm with sequence difference-based differential evolution for multi-objective fuzzy flow-shop scheduling problem

A hybrid many-objective evolutionary algorithm for flexible job-shop scheduling problem with transportation and setup times

Efficient Pose: Efficient human pose estimation with neural architecture search

Adaptive Selection of Reference Frames for Video Object Segmentation

Dual-Stream Network Based On Global Guidance for Salient Object Detection

Attention Driven Self-Similarity Capture for Motion Deblurring

Global Cognition and Local Perception Network for Blind Image Deblurring

Multidirection Update-Based Multiobjective Particle Swarm Optimization for Mixed No-Idle Flow-Shop Scheduling Problem

Energy-efficient path planning for a single-load automated guided vehicle in a manufacturing workshop

Hybrid multiobjective evolutionary algorithm with fast sampling strategy-based global search and route sequence difference-based local search for VRPTW

An improved genetic algorithm for the flexible job shop scheduling problem with multiple time constraints

Multiobjective Evolutionary Algorithm based on Fast Elite Sampling Strategy and Difference-based Local Search for VRPTW

Multiobjective PSO Algorithm with Multi-directional Convergence Strategy to Solve Flow Shop Scheduling Problems

基于混合多目标差分进化的流水车间调度问题研究

Incentive-aware virtual machine scheduling in cloud computing

Fast Multiobjective Hybrid Evolutionary Algorithm Based on Mixed Sampling Strategy

Hybrid Multiobjective Evolutionary Algorithm with Differential Evolution for Process Planning and Scheduling Problem

Recent advances in hybrid evolutionary algorithms for multiobjective manufacturing scheduling

基于NSGA-Ⅱ的进化算法学习研究

A Hybrid Algorithm Combining Ant Colony Algorithm and Genetic Algorithm for Dynamic Web Service Composition

An effective hybrid evolutionary algorithm for stochastic multiobjective assembly line balancing problem

Hybrid Multiobjective Evolutionary Algorithm for Assembly Line Balancing Problem with Stochastic Processing Time

Hybrid sampling strategy-based multiobjective evolutionary algorithm for process planning and scheduling problem

Multi-objective Evolutionary Algorithm with Strong Convergence of Multi-area for Assembly Line Balancing Problem with Worker Capability

Hybrid Sampling Strategy-based Multiobjective Evolutionary Algorithm

会议论文

Knowledge guided Artificial Intelligence and Intelligent Manufacturing

A Novel Experience-Based Exploration Method for Q-Learning

Radar Signal Recognition Based on TPOT and LIME

Radar Signal Recognition Based on FCBF and Ada Boost Algorithm

A Novel Subpixel Curved Edge Localization Method

书籍章节

Fast Multi-objective Hybrid Evolutionary Algorithm for Flow Shop Scheduling Problem

Advances in Hybrid Metaheuristics for Stochastic Manufacturing Scheduling: Part I Models and Methods

Advances in Hybrid Metaheuristics for Stochastic Manufacturing Scheduling: Part II Case Studies

Multiobjective Hybrid Genetic Algorithms for Manufacturing Scheduling: Part I Models and Algorithms

Multiobjective Hybrid Genetic Algorithms for Manufacturing Scheduling: Part II Case Studies of HDD and TFT-LCD

A Hybrid Evolutionary Algorithm Framework and Its Applications to Multiobjective Scheduling Problems

Recent Advances in Multiobjective Genetic Algorithms for Manufacturing Scheduling Problems