Study on Conceptual Design Knowledge Support Based on Case and Integrated Rule. - Kaizhou Gao; Zhenqiang Bao; Jianxin Zhou (SKG, 2007)

Study on the Efficiency of Knowledge Transfer Based on Knowledge Transfer Scenario. - Dan Zhang; Zhen-Qiang Bao; Kai-Zhou Gao; Lei Guo (CSSE (5), 2008)

Evaluating organization external knowledge acquisition. - Zhenqiang Bao; Kaizhou Gao; Xiangqing Li; Lei Guo; Hui Zhong (e-Forensics, 2008)

Wasp Algorithm for Dynamic Scheduling Based on Manufacturing Grid. - Zhen-Qiang Bao; Xiangqing Li; Dan Zhang; Peng Wang; Kai-Zhou Gao (ISIP, 2008)

Evaluating Organization External Knowledge Acquisition Based on Scenario. - Kai-Zhou Gao; Zhen-Qiang Bao; Xiangqing Li; Lei Guo; Hui Zhong (WKDD, 2008)

Conceptual Design Knowledge Retrieval, Reuse and Innovation Based on Case and Constraint. - Kaizhou Gao; Quan-Ke Pan; Qiang Qiang Sun (WKDD, 2009)

Scheduling the lot-streaming flow shop problem using a shuffled frog-leaping algorithm. - Jun-Hua Duan; Quan-Ke Pan; Kaizhou Gao; Junqing Li 001; Zhenqiang Bao (ICNC, 2010)

Scheduling the blocking flow shop problem using a harmony search algorithm. - Jun-Hua Duan; Quan-Ke Pan; Junqing Li 001; Kaizhou Gao; Zhenqiang Bao (ICNC, 2010)

A Novel Time Decaying Model for P2P Networks. - Junqing Li 001; Shengxian Xie; Quan-Ke Pan; Kaizhou Gao; Baoxian Jia; Yuting Wang 003 (MVHI, 2010)

An Effective Trust-Based Search Approach in Peer-to-Peer Network. - Junqing Li 001; Shengxian Xie; Quan-Ke Pan; Kaizhou Gao; Baoxian Jia; Yuting Wang 003 (MVHI, 2010)

Discrete Harmony Search Algorithm for the No Wait Flow Shop Scheduling Problem with Makespan Criterion. - Kaizhou Gao; Shengxian Xie; Hua Jiang; Junqing Li 001 (ICIC (1), 2011)

Flexible Job Shop Scheduling Problem by Chemical-Reaction Optimization Algorithm. - Junqing Li 001; Yuanzhen Li; Huaqing Yang; Kaizhou Gao; Yuting Wang 003; Tao Sun (ICIC (1), 2011)

A Modified Inver-over Operator for the Traveling Salesman Problem. - Yuting Wang 003; Jian Sun 006; Junqing Li 001; Kaizhou Gao (ICIC (2), 2011)

Hybrid algorithm based on Chemical Reaction Optimization and Lin-Kernighan local search for the Traveling Salesman Problem. - Jian Sun 006; Yuting Wang 003; Junqing Li 001; Kaizhou Gao (ICNC, 2011)

Memetic Algorithm based on Improved Inver-over operator and Lin-Kernighan local search for the Euclidean traveling salesman problem. - Yu-Ting Wang 003; Junqing Li 001; Kaizhou Gao; Quan-Ke Pan (Comput. Math. Appl., 2011)

A composite heuristic for the no-wait flow shop scheduling. - Kaizhou Gao; Ponnuthurai N. Suganthan; Zhenqiang Bao (IEEE Congress on Evolutionary Computation, 2012)

Pareto-based discrete harmony search algorithm for flexible job shop scheduling. - Kaizhou Gao; Ponnuthurai Nagaratnam Suganthan; Tay Jin Chua (ISDA, 2012)

Discrete Harmony Search Algorithm for Dynamic FJSSP in Remanufacturing Engineering. - Kaizhou Gao; Ponnuthurai Nagaratnam Suganthan; Tay Jin Chua (SEMCCO, 2012)

A Hybrid Harmony Search Algorithm for the no-Wait Flow-shop Scheduling Problems. - Kaizhou Gao; Quan-Ke Pan; Junqing Li 001; Yu-Ting Wang 003; Jing Liang 005 (Asia Pac. J. Oper. Res., 2012)

An enhanced migrating birds optimization algorithm for no-wait flow shop scheduling problem. - Kai-Zhou Gao; Ponnuthurai N. Suganthan; Tay Jin Chua (CISched, 2013)

Hybrid discrete harmony search algorithm for scheduling re-processing problem in remanufacturing. - Kaizhou Gao; Ponnuthurai Nagaratnam Suganthan; Tay Jin Chua; Tian Xiang Cai; Chin-Soon Chong (GECCO, 2013)

An improved gravitational search algorithm based on neighbor search. - C. Wang; Kaizhou Gao; J. Guo (ICNC, 2013)

A Novel Improved Discrete ABC Algorithm for Manpower Scheduling Problem in Remanufacturing. - Debabrota Basu; Shantanab Debchoudhury; Kaizhou Gao; Ponnuthurai Nagaratnam Suganthan (SEMCCO (1), 2013)

Load Information Based Priority Dependant Heuristic for Manpower Scheduling Problem in Remanufacturing. - Shantanab Debchoudhury; Debabrota Basu; Kaizhou Gao; Ponnuthurai Nagaratnam Suganthan (SEMCCO (1), 2013)

Pareto-based grouping discrete harmony search algorithm for multi-objective flexible job shop scheduling. - Kai-Zhou Gao; Ponnuthurai N. Suganthan; Quan-Ke Pan; Tay Jin Chua; Tian Xiang Cai; Chin-Soon Chong (Inf. Sci., 2014)

Urban road traffic light real-time scheduling. - Yicheng Zhang 001; Rong Su 001; Kaizhou Gao (CDC, 2015)

Effective ensembles of heuristics for scheduling flexible job shop problem with new job insertion. - Kai-Zhou Gao; Ponnuthurai Nagaratnam Suganthan; Mehmet Fatih Tasgetiren; Quan-Ke Pan; Qiang Qiang Sun (Comput. Ind. Eng., 2015)

A two-stage artificial bee colony algorithm scheduling flexible job-shop scheduling problem with new job insertion. - Kai-Zhou Gao; Ponnuthurai Nagaratnam Suganthan; Tay Jin Chua; Chin-Soon Chong; Tian Xiang Cai; Quan-Ke Pan (Expert Syst. Appl., 2015)

Discrete harmony search algorithm for solving urban traffic light scheduling problem. - Kai-Zhou Gao; Yicheng Zhang 001; Rong Su 001; Antonios F. Lentzakis (ACC, 2016)

Approximate solutions of heat transfer fins with convex and exponential profiles using fourier-based optimization method. - Ali Sadollah; Rong Su 001; Joong-Hoon Kim; Kai-Zhou Gao (CEC, 2016)

Jaya algorithm for solving urban traffic signal control problem. - Kai-Zhou Gao; Yicheng Zhang 001; Ali Sadollah; Rong Su 001 (ICARCV, 2016)

Discrete Jaya algorithm for flexible job shop scheduling problem with new job insertion. - Kaizhou Gao; Ali Sadollah; Yicheng Zhang 001; Rong Su 001; Junqing Li 001 (ICARCV, 2016)

Improved model of combinatorial Internet shopping optimization problem using evolutionary algorithms. - Ali Sadollah; Kai-Zhou Gao; Alireza Barzegar; Rong Su 001 (ICARCV, 2016)

A Variable Block Insertion Heuristic for the Blocking Flowshop Scheduling Problem with Total Flowtime Criterion. - Mehmet Fatih Tasgetiren; Quan-Ke Pan; Damla Kizilay; Kaizhou Gao (Algorithms, 2016)

Optimizing urban traffic light scheduling problem using harmony search with ensemble of local search. - Kaizhou Gao; Yicheng Zhang 001; Ali Sadollah; Rong Su 001 (Appl. Soft Comput., 2016)

An improved artificial bee colony algorithm for flexible job-shop scheduling problem with fuzzy processing time. - Kai-Zhou Gao; Ponnuthurai Nagaratnam Suganthan; Quan-Ke Pan; Tay Jin Chua; Chin-Soon Chong; Tian Xiang Cai (Expert Syst. Appl., 2016)

Discrete harmony search algorithm for flexible job shop scheduling problem with multiple objectives. - Kai-Zhou Gao; Ponnuthurai N. Suganthan; Quan-Ke Pan; Tay Jin Chua; Tian Xiang Cai; Chin-Soon Chong (J. Intell. Manuf., 2016)

Artificial bee colony algorithm for scheduling and rescheduling fuzzy flexible job shop problem with new job insertion. - Kai-Zhou Gao; Ponnuthurai Nagaratnam Suganthan; Quan-Ke Pan; Mehmet Fatih Tasgetiren; Ali Sadollah (Knowl. Based Syst., 2016)

Traffic light scheduling for pedestrians and vehicles. - Yi Zhang 047; Rong Su 001; Kaizhou Gao; Yicheng Zhang 001 (CCTA, 2017)

Improved artificial bee colony algorithm for solving urban traffic light scheduling problem. - Kai-Zhou Gao; Yicheng Zhang 001; Ali Sadollah; Rong Su 001 (CEC, 2017)

Bi-objective Water Cycle Algorithm for Solving Remanufacturing Rescheduling Problem. - Kaizhou Gao; Pei-Yong Duan; Rong Su 001; Junqing Li 001 (SEAL, 2017)

Differential Evolution Based Hyper-heuristic for the Flexible Job-Shop Scheduling Problem with Fuzzy Processing Time. - Jian Lin 004; Dike Luo; Xiaodong Li 001; Kaizhou Gao; Yanan Liu (SEAL, 2017)

A meta-heuristic with ensemble of local search operators for urban traffic light optimization. - Kaizhou Gao; Yicheng Zhang 001; Yi Zhang 047; Rong Su 001 (SSCI, 2017)

Effective metaheuristics for scheduling a hybrid flowshop with sequence-dependent setup times. - Quan-Ke Pan; Liang Gao 001; Xinyu Li 001; Kai-Zhou Gao (Appl. Math. Comput., 2017)

Metaheuristic optimisation methods for approximate solving of singular boundary value problems. - Ali Sadollah; Neha Yadav; Kaizhou Gao; Rong Su 001 (J. Exp. Theor. Artif. Intell., 2017)

A hybrid artificial bee colony for optimizing a reverse logistics network system. - Jun-Qing Li 001; Ji-dong Wang; Quan-Ke Pan; Pei-Yong Duan; Hong-yan Sang; Kai-Zhou Gao; Yu Xue 003 (Soft Comput., 2017)

Jaya, harmony search and water cycle algorithms for solving large-scale real-life urban traffic light scheduling problem. - Kaizhou Gao; Yicheng Zhang 001; Ali Sadollah; Antonios F. Lentzakis; Rong Su 001 (Swarm Evol. Comput., 2017)

Decomposition methods for manufacturing system scheduling: a survey. - Fajun Yang; Kaizhou Gao; Ian Ware Simon; Yuting Zhu; Rong Su 001 (IEEE CAA J. Autom. Sinica, 2018)

A new hybrid memetic multi-objective optimization algorithm for multi-objective optimization. - Jianping Luo; Yun Yang; Qiqi Liu; Xia Li 006; Min-Rong Chen; Kaizhou Gao (Inf. Sci., 2018)

A decomposition-based multi-objective evolutionary algorithm with quality indicator. - Jianping Luo; Yun Yang; Xia Li 006; Qiqi Liu; Min-Rong Chen; Kaizhou Gao (Swarm Evol. Comput., 2018)

A novel particle swarm optimizer for many-objective optimization. - Jianping Luo; Xiongwen Huang; Xia Li 006; Kaizhou Gao (CEC, 2019)

Jaya Algorithm for Rescheduling Flexible Job Shop Problem with Machine Recovery. - Kaizhou Gao; MengChu Zhou; Yuxia Pan (SMC, 2019)

A Multi-Species Artificial Bee Colony Algorithm and Its Application for Crowd Simulation. - Shouna Wang; Hong Liu 013; Kaizhou Gao; Jianxin Zhang (IEEE Access, 2019)

Improved Multi-Agent Reinforcement Learning for Path Planning-Based Crowd Simulation. - Qingqing Wang; Hong Liu 013; Kaizhou Gao; Le Zhang 001 (IEEE Access, 2019)

A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems. - Kaizhou Gao; Zhiguang Cao; Le Zhang 001; Zhenghua Chen; Yuyan Han; Quanke Pan (IEEE CAA J. Autom. Sinica, 2019)

Solving multi-area environmental/ economic dispatch by Pareto-based chemical-reaction optimization algorithm. - Junqing Li 001; Hongyan Sang; Quanke Pan; Peiyong Duan; Kaizhou Gao (IEEE CAA J. Autom. Sinica, 2019)

Jointly optimizing microgrid configuration and energy consumption scheduling of smart homes. - Yun Huang; Kai Wang 016; Kaizhou Gao; Ting Qu; Hong Liu 013 (Swarm Evol. Comput., 2019)

Effective invasive weed optimization algorithms for distributed assembly permutation flowshop problem with total flowtime criterion. - Hongyan Sang; Quan-Ke Pan; Jun-Qing Li 001; Ping Wang 049; Yu-Yan Han; Kai-Zhou Gao; Peng Duan (Swarm Evol. Comput., 2019)

Flexible Job-Shop Rescheduling for New Job Insertion by Using Discrete Jaya Algorithm. - Kaizhou Gao; Fajun Yang; MengChu Zhou; Quan-Ke Pan; Ponnuthurai Nagaratnam Suganthan (IEEE Trans. Cybern., 2019)

Solving Traffic Signal Scheduling Problems in Heterogeneous Traffic Network by Using Meta-Heuristics. - Kaizhou Gao; Yicheng Zhang 001; Rong Su 001; Fajun Yang; Ponnuthurai Nagaratnam Suganthan; MengChu Zhou (IEEE Trans. Intell. Transp. Syst., 2019)

Meta-Heuristics for Bi-Objective Urban Traffic Light Scheduling Problems. - Kaizhou Gao; Yi Zhang 047; Yicheng Zhang 001; Rong Su 001; Ponnuthurai Nagaratnam Suganthan (IEEE Trans. Intell. Transp. Syst., 2019)

Traffic Light Scheduling for Pedestrian-Vehicle Mixed-Flow Networks. - Yi Zhang 047; Kaizhou Gao; Yicheng Zhang 001; Rong Su 001 (IEEE Trans. Intell. Transp. Syst., 2019)

Improved Jaya Algorithm for Flexible Job Shop Rescheduling Problem. - Kaizhou Gao; Fajun Yang; Junqing Li 001; Hongyan Sang; Jianping Luo (IEEE Access, 2020)

Improved Migrating Birds Optimization Algorithm to Solve Hybrid Flowshop Scheduling Problem With Lot-Streaming. - Ping Wang 049; Hongyan Sang; Qiuyun Tao; Hengwei Guo; Junqing Li 001; Kaizhou Gao; Yuyan Han (IEEE Access, 2020)

Discrete evolutionary multi-objective optimization for energy-efficient blocking flow shop scheduling with setup time. - Yuyan Han; Junqing Li 001; Hongyan Sang; Yiping Liu; Kaizhou Gao; Quanke Pan (Appl. Soft Comput., 2020)

A genetic programming hyper-heuristic approach for the multi-skill resource constrained project scheduling problem. - Jian Lin 004; Lei Zhu; Kaizhou Gao (Expert Syst. Appl., 2020)

WiFi-Based Indoor Robot Positioning Using Deep Fuzzy Forests. - Le Zhang 001; Zhenghua Chen; Wei Cui 002; Bing Li 002; Cen Chen 002; Zhiguang Cao; Kaizhou Gao (IEEE Internet Things J., 2020)

A survey on meta-heuristics for solving disassembly line balancing, planning and scheduling problems in remanufacturing. - Kai-Zhou Gao; Z. M. He; Y. Huang; Pei-Yong Duan; Ponnuthurai N. Suganthan (Swarm Evol. Comput., 2020)

Efficient Approach to Scheduling of Transient Processes for Time-Constrained Single-Arm Cluster Tools With Parallel Chambers. - FaJun Yang; Yan Qiao; Kaizhou Gao; Naiqi Wu; Yuting Zhu; Ian Ware Simon; Rong Su 001 (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Using Reinforcement Learning to Minimize the Probability of Delay Occurrence in Transportation. - Zhiguang Cao; Hongliang Guo; Wen Song; Kaizhou Gao; Zhenghua Chen; Le Zhang 001; Xuexi Zhang (IEEE Trans. Veh. Technol., 2020)

Urban Traffic Light Control Considering Capacity Difference Between Public Bus and Private Vehicles. - Zicheng Liu 004; Naiqi Wu; Kaizhou Gao (IEEE Access, 2021)

An evacuation simulation method based on an improved artificial bee colony algorithm and a social force model. - Yuan Zhao; Hong Liu 013; Kaizhou Gao (Appl. Intell., 2021)

A green scheduling algorithm for the distributed flowshop problem. - Yuanzhen Li; Quan-Ke Pan; Kai-Zhou Gao; Mehmet Fatih Tasgetiren; Biao Zhang 003; Jun-Qing Li 001 (Appl. Soft Comput., 2021)

MIMOA: A membrane-inspired multi-objective algorithm for green vehicle routing problem with stochastic demands. - Yunyun Niu; Yongpeng Zhang; Zhiguang Cao; Kaizhou Gao; Jianhua Xiao; Wen Song; Fangwei Zhang (Swarm Evol. Comput., 2021)

A Novel Ensemble Deep Learning Approach for Sleep-Wake Detection Using Heart Rate Variability and Acceleration. - Zhenghua Chen; Min Wu 008; Kaizhou Gao; Jiyan Wu; Jie Ding 007; Zeng Zeng; Xiaoli Li 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Improving the Performance of Transportation Networks: A Semi-Centralized Pricing Approach. - Zhiguang Cao; Hongliang Guo; Wen Song; Kaizhou Gao; Liujiang Kang; Xuexi Zhang; Qilun Wu (IEEE Trans. Intell. Transp. Syst., 2021)

An Improved Artificial Bee Colony Algorithm for Assembly Line Balancing Problem of Electric Vehicle. - Zifan Wang; Xinwei Wu 004; Kaizhou Gao; Hua Jiang (ASCC, 2022)

Problem Feature-Based Meta-Heuristics with Reinforcement Learning for Solving Urban Traffic Light Scheduling Problems. - Liang Wang; Kaizhou Gao; Zhongjie Lin; Wuze Huang (ITSC, 2022)

The distributed flowshop scheduling problem with delivery dates and cumulative payoffs. - Yuanzhen Li; Quan-Ke Pan; Xuan He; Hongyan Sang; Kai-Zhou Gao; Xue-Lei Jing (Comput. Ind. Eng., 2022)

Modelling and optimization of integrated distributed flow shop scheduling and distribution problems with time windows. - Yushuang Hou; Yaping Fu; Kaizhou Gao; Hui Zhang; Ali Sadollah (Expert Syst. Appl., 2022)

Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction. - Ruibing Jin; Min Wu 008; Keyu Wu 002; Kaizhou Gao; Zhenghua Chen; Xiaoli Li 001 (IEEE CAA J. Autom. Sinica, 2022)

Analytical target cascading for multi-level supply chain decisions in cloud perspective. - Yun Huang; Kaizhou Gao; Kai Wang 016; Haili Lv; Fan Gao (Ind. Manag. Data Syst., 2022)

Personalized Route Planning System Based on Driver Preference. - Ren Wang; Mengchu Zhou; Kaizhou Gao; Ahmed Alabdulwahab; Muhyaddin J. Rawa (Sensors, 2022)

Modelling and scheduling integration of distributed production and distribution problems via black widow optimization. - Yaping Fu; Yushuang Hou; Zhenghua Chen; Xujin Pu; Kaizhou Gao; Ali Sadollah (Swarm Evol. Comput., 2022)

Integration routing and scheduling for multiple home health care centers using a multi-objective cooperation evolutionary algorithm with stochastic simulation. - Xiaomeng Ma; Yaping Fu; Kaizhou Gao; Ali Sadollah; Kai Wang 016 (Swarm Evol. Comput., 2022)

Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times. - Leilei Meng; Kaizhou Gao; Yaping Ren; Biao Zhang 003; Hongyan Sang; Chaoyong Zhang (Swarm Evol. Comput., 2022)

A Hybrid Iterated Greedy Algorithm for a Crane Transportation Flexible Job Shop Problem. - Jun-Qing Li 001; Yu Du; Kai-Zhou Gao; Pei-Yong Duan; Dun-Wei Gong; Quan-Ke Pan; Ponnuthurai N. Suganthan (IEEE Trans Autom. Sci. Eng., 2022)

A Review on Swarm Intelligence and Evolutionary Algorithms for Solving the Traffic Signal Control Problem. - Palwasha W. Shaikh; Mohammed El-Abd; Mounib Khanafer; Kaizhou Gao (IEEE Trans. Intell. Transp. Syst., 2022)

Optimized Backstepping Tracking Control Using Reinforcement Learning for Quadrotor Unmanned Aerial Vehicle System. - Guoxing Wen 001; Wei Hao 003; Weiwei Feng; Kaizhou Gao (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Combining Meta-heuristics and K-Means++ for Solving Unmanned Surface Vessels Task Assignment and Path Planning Problems. - Weiyu Tang; Kaizhou Gao; Minglong Gao; Zhenfang Ma (ICNSC, 2023)

A Multi-Objective Scheduling and Routing Problem for Home Health Care Services via Brain Storm Optimization. - Xiaomeng Ma; Yaping Fu; Kaizhou Gao; Lihua Zhu; Ali Sadollah (Complex Syst. Model. Simul., 2023)

Intelligent Optimization Under Multiple Factories: Hybrid Flow Shop Scheduling Problem with Blocking Constraints Using an Advanced Iterated Greedy Algorithm. - Yong Wang; Yuting Wang 003; Yuyan Han; Junqing Li 001; Kaizhou Gao; Yusuke Nojima (Complex Syst. Model. Simul., 2023)

A cooperative population-based iterated greedy algorithm for distributed permutation flowshop group scheduling problem. - Hui Zhao; Quan-Ke Pan; Kai-Zhou Gao (Eng. Appl. Artif. Intell., 2023)

A hybrid multi-objective evolutionary algorithm for solving an adaptive flexible job-shop rescheduling problem with real-time order acceptance and condition-based preventive maintenance. - Youjun An; Xiaohui Chen; Kaizhou Gao; Lin Zhang; Yinghe Li; Ziye Zhao (Expert Syst. Appl., 2023)

Improved Meta-Heuristics for Solving Distributed Lot-Streaming Permutation Flow Shop Scheduling Problems. - Yuxia Pan; Kaizhou Gao; Zhiwu Li 001; Naiqi Wu (IEEE Trans Autom. Sci. Eng., 2023)

Integrated optimization of real-time order acceptance and flexible job-shop rescheduling with multi-level imperfect maintenance constraints. - Youjun An; Xiaohui Chen; Kaizhou Gao; Lin Zhang; Yinghe Li; Ziye Zhao (Swarm Evol. Comput., 2023)

Invasive weed optimization for multi-AGVs dispatching problem in a matrix manufacturing workshop. - Zhong-Kai Li; Hongyan Sang; Jun-Qing Li 001; Yu-Yan Han; Kai-Zhou Gao; Zhi-xin Zheng 004; Li-li Liu (Swarm Evol. Comput., 2023)

Biologically Inspired Machine Learning-Based Trajectory Analysis in Intelligent Dispatching Energy Storage System. - Jianhui Mou; Peiyong Duan; Liang Gao 001; Quanke Pan; Kaizhou Gao; Amit Kumar Singh 001 (IEEE Trans. Intell. Transp. Syst., 2023)

Multi-Objective brain storm optimization for integrated scheduling of distributed flow shop and distribution with maximal processing quality and minimal total weighted earliness and tardiness. - Yushuang Hou; Hongfeng Wang; Yaping Fu; Kaizhou Gao; Hui Zhang (Comput. Ind. Eng., 2023)

A property-based hybrid genetic algorithm and tabu search for solving order acceptance and scheduling problem with trapezoidal penalty membership function. - Ziye Zhao; Xiaohui Chen; Youjun An; Yinghe Li; Kaizhou Gao (Expert Syst. Appl., 2023)

Multiobjective Flexible Job-Shop Rescheduling With New Job Insertion and Machine Preventive Maintenance. - Youjun An; Xiaohui Chen; Kaizhou Gao; Yinghe Li; Lin Zhang (IEEE Trans. Cybern., 2023)

An Improved Artificial Bee Colony Algorithm With Q-Learning for Solving Permutation Flow-Shop Scheduling Problems. - Hanxiao Li; Kaizhou Gao; Pei-Yong Duan; Jun-Qing Li 001; Le Zhang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Solving Biobjective Distributed Flow-Shop Scheduling Problems With Lot-Streaming Using an Improved Jaya Algorithm. - Yuxia Pan; Kaizhou Gao; Zhi-Wu Li 001; Naiqi Wu (IEEE Trans. Cybern., 2023)

Dynamic AGV Scheduling Model With Special Cases in Matrix Production Workshop. - Zhong-Kai Li; Hongyan Sang; Quanke Pan; Kaizhou Gao; Yuyan Han; Junqing Li 001 (IEEE Trans. Ind. Informatics, 2023)

A novel Q-learning based variable neighborhood iterative search algorithm for solving disassembly line scheduling problems. - Yaxian Ren; Kaizhou Gao; Yaping Fu; Hongyan Sang; Dachao Li; Zile Luo (Swarm Evol. Comput., 2023)

Improved meta-heuristics with Q-learning for solving distributed assembly permutation flowshop scheduling problems. - Hui Yu; Kai-Zhou Gao; Zhen-Fang Ma; Yuxia Pan (Swarm Evol. Comput., 2023)

A knowledge-based multi-objective evolutionary algorithm for solving home health care routing and scheduling problems with multiple centers. - Xiaomeng Ma; Yaping Fu; Kaizhou Gao; Hui Zhang; Jianhui Mou (Appl. Soft Comput., 2023)

An embedded vertical-federated feature selection algorithm based on particle swarm optimisation. - Yong Zhang 016; Ying Hu 006; Xiaozhi Gao 001; Dunwei Gong; Yinan Guo 001; Kaizhou Gao; Wanqiu Zhang (CAAI Trans. Intell. Technol., 2023)

Ensemble meta-heuristics and Q-learning for solving unmanned surface vessels scheduling problems. - Minglong Gao; Kaizhou Gao; Zhen-Fang Ma; Weiyu Tang (Swarm Evol. Comput., 2023)

MILP modeling and optimization of multi-objective flexible job shop scheduling problem with controllable processing times. - Leilei Meng; Chaoyong Zhang; Biao Zhang 003; Kaizhou Gao; Yaping Ren; Hongyan Sang (Swarm Evol. Comput., 2023)

Problem feature based meta-heuristics with Q-learning for solving urban traffic light scheduling problems. - Liang Wang; Kaizhou Gao; Zhongjie Lin; Wuze Huang; Ponnuthurai Nagaratnam Suganthan (Appl. Soft Comput., 2023)

A problem-specific knowledge based artificial bee colony algorithm for scheduling distributed permutation flowshop problems with peak power consumption. - Yuanzhen Li; Kaizhou Gao; Leilei Meng; Ponnuthurai Nagaratnam Suganthan (Eng. Appl. Artif. Intell., 2023)

Intelligent optimization under the makespan constraint: Rapid evaluation mechanisms based on the critical machine for the distributed flowshop group scheduling problem. - Yuhang Wang; Yuyan Han; Yuting Wang 003; Mehmet Fatih Tasgetiren; Jun-Qing Li 001; Kaizhou Gao (Eur. J. Oper. Res., 2023)

An effective two-stage iterated greedy algorithm for distributed flowshop group scheduling problem with setup time. - Yuhang Wang; Yuyan Han; Yuting Wang 003; Junqing Li 001; Kaizhou Gao; Yiping Liu (Expert Syst. Appl., 2023)

Integrated scheduling problems of open shop and vehicle routing using an ensemble of group teaching optimization and simulated annealing. - Jiaming Su; Yaping Fu; Kaizhou Gao; Hongyu Dong; Jianhui Mou (Swarm Evol. Comput., 2023)

Scheduling Eight-Phase Urban Traffic Light Problems via Ensemble Meta-Heuristics and Q-Learning Based Local Search. - Zhongjie Lin; Kaizhou Gao; Naiqi Wu; Ponnuthurai Nagaratnam Suganthan (IEEE Trans. Intell. Transp. Syst., 2023)

A Machine Learning Approach for Energy-Efficient Intelligent Transportation Scheduling Problem in a Real-World Dynamic Circumstances. - Jianhui Mou; Kaizhou Gao; Peiyong Duan; Junqing Li 001; Akhil Garg 002; Rohit Sharma 002 (IEEE Trans. Intell. Transp. Syst., 2023)

A Q-learning-Based Meta-heuristic Algorithm for Open Shop Scheduling Considering Group and Transportation Activities. - Yifeng Wang 008; Mengyao Ji; Yaping Fu; Hongfeng Wang; Kaizhou Gao (CASE, 2024)

Improved Meta-Heuristics with a Sarsa Algorithm for Scheduling Distributed Permutation Flow Shops. - Jiaqi Qin; Kaizhou Gao; Zhongjie Lin; Hui Yu (ICNSC, 2024)

Integrated scheduling of multi-constraint open shop and vehicle routing: Mathematical model and learning-driven brain storm optimization algorithm. - Yaping Fu; Yifeng Wang 008; Kaizhou Gao; Ponnuthurai Nagaratnam Suganthan; Min Huang 001 (Appl. Soft Comput., 2024)

Ensemble artificial bee colony algorithm with Q-learning for scheduling Bi-objective disassembly line. - Yaxian Ren; Kaizhou Gao; Yaping Fu; Dachao Li; Ponnuthurai Nagaratnam Suganthan (Appl. Soft Comput., 2024)

Energy-efficient multi-objective distributed assembly permutation flowshop scheduling by Q-learning based meta-heuristics. - Hui Yu; Kaizhou Gao; Zhiwu Li 001; Ponnuthurai Nagaratnam Suganthan (Appl. Soft Comput., 2024)

A learning-driven multi-objective cooperative artificial bee colony algorithm for distributed flexible job shop scheduling problems with preventive maintenance and transportation operations. - Zhengpei Zhang; Yaping Fu; Kaizhou Gao; Quanke Pan; Min Huang 001 (Comput. Ind. Eng., 2024)

Review on ensemble meta-heuristics and reinforcement learning for manufacturing scheduling problems. - Yaping Fu; Yifeng Wang 008; Kaizhou Gao; Min Huang 001 (Comput. Electr. Eng., 2024)

A Penalty Groups-Assisted Iterated Greedy Integrating Idle Time Insertion: Solving the Hybrid Flow Shop Group Scheduling with Delivery Time Windows. - Qianhui Ji; Yuyan Han; Yuting Wang 003; Biao Zhang 003; Kaizhou Gao (Complex Syst. Model. Simul., 2024)

A Q-Learning Based Hybrid Meta-Heuristic for Integrated Scheduling of Disassembly and Reprocessing Processes Considering Product Structures and Stochasticity. - Fuquan Wang; Yaping Fu; Kaizhou Gao; Yaoxin Wu; Song Gao (Complex Syst. Model. Simul., 2024)

Q-Learning Based Meta-Heuristics for Scheduling Bi-Objective Surgery Problems with Setup Time. - Ruixue Zhang; Hui Yu; Adam Slowik; Kaizhou Gao (Complex Syst. Model. Simul., 2024)

Multi-product disassembly line balancing optimization method for high disassembly profit and low energy consumption with noise pollution constraints. - Pei Liang; Yaping Fu; Kaizhou Gao (Eng. Appl. Artif. Intell., 2024)

Ensemble meta-heuristics and Q-learning for staff dissatisfaction constrained surgery scheduling and rescheduling. - Hui Yu; Kai-Zhou Gao; Naiqi Wu; Ponnuthurai Nagaratnam Suganthan (Eng. Appl. Artif. Intell., 2024)

An effective multi-restart iterated greedy algorithm for multi-AGVs dispatching problem in the matrix manufacturing workshop. - Zi-Jiang Liu; Hong-yan Sang; Chang-Zhe Zheng; Hao Chi; Kai-Zhou Gao; Yu-Yan Han (Expert Syst. Appl., 2024)

MIP modeling of energy-conscious FJSP and its extended problems:From simplicity to complexity. - Leilei Meng; Peng Duan; Kaizhou Gao; Biao Zhang 003; Wen-Qiang Zou; Yuyan Han; Chaoyong Zhang (Expert Syst. Appl., 2024)

Theoretical analysis and implementation of mandatory operations-based accelerated search in graph space for hybrid flow shop scheduling. - Yuting Wang 003; Yuyan Han; Huan Li; Junqing Li 001; Kaizhou Gao; Yiping Liu (Expert Syst. Appl., 2024)

A bi-evolutionary cooperative multi-objective algorithm for blocking group flow shop with outsourcing option. - Xinrui Wang; Junqing Li 001; Yuanyuan Zhang; Kaizhou Gao; Zhixin Zheng; Jiake Li; Ying Xu (Expert Syst. Appl., 2024)

A novel collaborative iterative greedy algorithm for hybrid flowshop scheduling problem with batch processing machines and variable sublots. - Chengshuai Li; Yuyan Han; Biao Zhang 003; Yuting Wang 003; Junqing Li 001; Kaizhou Gao (Int. J. Prod. Res., 2024)

Two-level balancing multi-objective algorithm for trapezoidal type-2 fuzzy flexible job shop problems. - Jun-qing Li 001; Jiake Li; Kaizhou Gao; Peiyong Duan (Inf. Sci., 2024)

Deep reinforcement learning as multiobjective optimization benchmarks: Problem formulation and performance assessment. - Oladayo S. Ajani; Dzeuban Fenyom Ivan; Daison Darlan; Ponnuthurai N. Suganthan; Kaizhou Gao; Rammohan Mallipeddi (Swarm Evol. Comput., 2024)

A self-adaptive co-evolutionary algorithm for multi-objective flexible job-shop rescheduling problem with multi-phase processing speed selection, condition-based preventive maintenance and dynamic repairman assignment. - Youjun An; Ziye Zhao; Kaizhou Gao; Yuanfa Dong; Xiaohui Chen; Bin Zhou (Swarm Evol. Comput., 2024)

Solving the multi-objective path planning problem for mobile robot using an improved NSGA-II algorithm. - Peng Duan; Zhenao Yu; Kaizhou Gao; Leilei Meng; Yuyan Han; Fan Ye (Swarm Evol. Comput., 2024)

Multi-objective migrating birds optimization for solving stochastic home health care routing and scheduling problems considering caregiver working time constraints. - Yaping Fu; Xiaomeng Ma; Kaizhou Gao; Hongfeng Wang; Ali Sadollah; L. Y. Chen (Swarm Evol. Comput., 2024)

Artificial intelligence algorithms in unmanned surface vessel task assignment and path planning: A survey. - Kaizhou Gao; Minglong Gao; Mengchu Zhou; Zhenfang Ma (Swarm Evol. Comput., 2024)

A dual population collaborative genetic algorithm for solving flexible job shop scheduling problem with AGV. - Xiaoqing Han; Weiyao Cheng; Leilei Meng; Biao Zhang 003; Kaizhou Gao; Chaoyong Zhang; Peng Duan (Swarm Evol. Comput., 2024)

Combining meta-heuristics and Q-learning for scheduling lot-streaming hybrid flow shops with consistent sublots. - Benxue Lu; Kaizhou Gao; Yaxian Ren; Dachao Li; Adam Slowik (Swarm Evol. Comput., 2024)

Open shop scheduling with group and transportation operations by learning-driven hyper-heuristic algorithms. - Yifeng Wang 008; Yaping Fu; Kaizhou Gao; Humyun Fuad Rahman; Min Huang 001 (Swarm Evol. Comput., 2024)

A cooperative evolutionary algorithm with simulated annealing for integrated scheduling of distributed flexible job shops and distribution. - Zhengpei Zhang; Yaping Fu; Kaizhou Gao; Hui Zhang; Lei Wang (Swarm Evol. Comput., 2024)

A Q-learning based artificial bee colony algorithm for solving surgery scheduling problems with setup time. - Ruixue Zhang; Hui Yu; Kaizhou Gao; Yaping Fu; Joong Hoon Kim (Swarm Evol. Comput., 2024)

Multi-Objective Home Health Care Routing and Scheduling With Sharing Service via a Problem-Specific Knowledge-Based Artificial Bee Colony Algorithm. - Yaping Fu; Xiaomeng Ma; Kai-Zhou Gao; Zhiwu Li 001; Hongyu Dong (IEEE Trans. Intell. Transp. Syst., 2024)

Integrating scheduling and routing decisions into home health care operation with skill requirements and uncertainties. - Yaping Fu; Feng Ding; Zongyu Mu; Cuihua Sun; Kaizhou Gao (J. Simulation, 2024)

Multi-Objective Multi-Picking-Robot Task Allocation: Mathematical Model and Discrete Artificial Bee Colony Algorithm. - Lou-Lei Dai; Quan-Ke Pan; Zhong-Hua Miao; Ponnuthurai Nagaratnam Suganthan; Kai-Zhou Gao (IEEE Trans. Intell. Transp. Syst., 2024)

A Novel Evolutionary Algorithm for Scheduling Distributed No-Wait Flow Shop Problems. - Yuxia Pan; Kaizhou Gao; Zhiwu Li 001; Naiqi Wu (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Scheduling Multiobjective Dynamic Surgery Problems via Q-Learning-Based Meta-Heuristics. - Hui Yu; Kaizhou Gao; Naiqi Wu; MengChu Zhou; Ponnuthurai N. Suganthan; Shouguang Wang (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Bi-Population Balancing Multi-Objective Algorithm for Fuzzy Flexible Job Shop With Energy and Transportation. - Junqing Li 001; Yuyan Han; Kaizhou Gao; Xiumei Xiao; Peiyong Duan (IEEE Trans Autom. Sci. Eng., 2024)

Multiobjective Scheduling of Energy-Efficient Stochastic Hybrid Open Shop With Brain Storm Optimization and Simulation Evaluation. - Yaping Fu; Mengchu Zhou; Xiwang Guo 001; Liang Qi 001; Kaizhou Gao; Aiiad Albeshri (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Problem-Specific Knowledge Based Multi-Objective Meta-Heuristics Combined Q-Learning for Scheduling Urban Traffic Lights With Carbon Emissions. - Zhongjie Lin; Kaizhou Gao; Naiqi Wu; Ponnuthurai Nagaratnam Suganthan (IEEE Trans. Intell. Transp. Syst., 2024)

An Improved NSGAII for Integrated Container Scheduling Problems With Two Transshipment Routes. - Lingchong Zhong; Wenfeng Li 001; Kaizhou Gao; Lijun He 002; Yong Zhou 008 (IEEE Trans. Intell. Transp. Syst., 2024)

A Hybrid Graph-Based Imitation Learning Method for a Realistic Distributed Hybrid Flow Shop With Family Setup Time. - Junqing Li 001; Jiake Li; Kaizhou Gao; Peiyong Duan (IEEE Trans. Syst. Man Cybern. Syst., 2024)

A genetic programming based cooperative evolutionary algorithm for flexible job shop with crane transportation and setup times. - Xiaolong Chen; Junqing Li; Zunxun Wang; Jiake Li; Kaizhou Gao (Appl. Soft Comput., 2025)

A review on metaheuristics for solving home health care routing and scheduling problems. - Yaping Fu; Jie Dong; Kaizhou Gao; Ponnuthurai Nagaratnam Suganthan; Min Huang 001; Lihua Zhu (Appl. Soft Comput., 2025)

A novel multi-objective hybrid evolutionary algorithm based on variable weight strategy for distributed hybrid flowshop scheduling with batch processing machines and variable sublots. - Chengshuai Li; Yuyan Han; Biao Zhang; Yuting Wang 003; Junqing Li; Kaizhou Gao (Appl. Soft Comput., 2025)

From fluid relaxations to double deep Q-network for Dynamic Multiplicity Flexible Job-Shop Scheduling. - Xiaoyu Yang; Yuyan Han; Yuting Wang 003; Huan Li; Kaizhou Gao; Yiping Liu (Appl. Soft Comput., 2025)

A rapid population-based iterated greedy for distributed blocking group flowshop scheduling with delivery time windows under multiple processing time scenarios. - Yizheng Wang; Yuting Wang; Yuyan Han; Junqing Li 001; Kaizhou Gao (Comput. Ind. Eng., 2025)

Deep reinforcement learning for solving efficient and energy-saving flexible job shop scheduling problem with multi-AGV. - Weiyao Cheng; Chaoyong Zhang; Leilei Meng; Biao Zhang 003; Kaizhou Gao; Hongyan Sang (Comput. Oper. Res., 2025)

Home health care routing and scheduling problems considering patient classification and outsourcing: Modeling and a solution algorithm. - Xiaomeng Ma; Xujin Pu; Yaping Fu; Kaizhou Gao; Yuchen Xu 006 (Comput. Oper. Res., 2025)

Scheduling Bi-Objective Lot-Streaming Hybrid Flow Shops with Consistent Sublots via an Enhanced Artificial Bee Colony Algorithm. - Benxue Lu; Kaizhou Gao; Peiyong Duan; Adam Slowik (Complex Syst. Model. Simul., 2025)

Modelling and scheduling distributed assembly permutation flow-shops using reinforcement learning-based evolutionary algorithms. - Bohan Qiu; Kaizhou Gao; Hui Yu; Ali Sadollah (Eng. Appl. Artif. Intell., 2025)

An enhanced artificial bee colony algorithm with self-learning optimization mechanism for multi-objective path planning problem. - Fan Ye; Peng Duan; Leilei Meng; Hongyan Sang; Kaizhou Gao (Eng. Appl. Artif. Intell., 2025)

A cooperative agent deep reinforcement learning framework for solving flexible job shop scheduling problem with automated guided vehicles. - Weiyao Cheng; Chaoyong Zhang; Leilei Meng; Kaizhou Gao; Biao Zhang 003; Hongyan Sang (Expert Syst. Appl., 2025)

Enhancing distributed blocking flowshop group scheduling: Theoretical insight and application of an iterated greedy algorithm with idle time insertion and rapid evaluation mechanisms. - Yizheng Wang; Yuting Wang 003; Yuyan Han; Kaizhou Gao; Junqing Li 001; Yuhang Wang (Expert Syst. Appl., 2025)

An accelerated discrete artificial bee colony algorithm under the makespan constraint: Solving the distributed blocking flow shop scheduling problem with balanced energy consumption costs. - Chenyao Zhang; Yuyan Han; Yu-Ting Wang 003; Junqing Li 001; Kaizhou Gao (Expert Syst. Appl., 2025)

GCB-Diff: Global context-aware and boundary-aware feature fusion based on diffusion model for medical image segmentation. - Shannan Chen; Qingda Chen; Tongkang Zhang; Kaizhou Gao; Ronghui Ju; Peizhuo Zang; Shouliang Qi (Neurocomputing, 2025)

Scheduling stochastic distributed flexible job shops using an multi-objective evolutionary algorithm with simulation evaluation. - Yaping Fu; Kaizhou Gao; Ling Wang; Min Huang 001; Yun-Chia Liang; Hongyu Dong (Int. J. Prod. Res., 2025)

Local search-based meta-heuristics combined with an improved K-Means++ clustering algorithm for unmanned surface vessel scheduling. - Weiyu Tang; Kaizhou Gao; Zhenfang Ma; Zhongjie Lin; Hui Yu; Wuze Huang; Naiqi Wu (Int. J. Prod. Res., 2025)

Integrated distributed flexible job shop scheduling and vehicle routing problem via Q-learning-based evolutionary algorithms. - Yaping Fu; Zhengpei Zhang; Kaizhou Gao; Quanke Pan; Humyun Fuad Rahman (Inf. Sci., 2025)

A Q-learning-driven genetic algorithm for the distributed hybrid flow shop group scheduling problem with delivery time windows. - Qianhui Ji; Yuyan Han; Yuting Wang 003; Dunwei Gong; Kaizhou Gao (Inf. Sci., 2025)

Q-Learning-Driven Accelerated Iterated Greedy Algorithm for Multi-Scenario Group Scheduling in Distributed Blocking Flowshops. - Zhen Li; Yuting Wang 003; Yuyan Han; Kaizhou Gao; Junqing Li 001 (Knowl. Based Syst., 2025)

Solving the permutation flow shop scheduling problem with sequence-dependent setup time via iterative greedy algorithm and imitation learning. - Zhaosheng Du; Jun-qing Li; Haonan Song; Kaizhou Gao; Ying Xu; Jia-ke Li; Zhixin Zheng (Math. Comput. Simul., 2025)

Scheduling two-stage healthcare appointment systems via a knowledge-based biased random-key genetic algorithm. - Fajun Yang; Chao Li; Feng Wang; Zhi Yang; Kaizhou Gao (Swarm Evol. Comput., 2025)

Double-Learning-Strategy-Based Evolutionary Algorithm for Scheduling Multiobjective Distributed Assembly Permutation Flowshops With Setup Time. - Hui Yu; Kaizhou Gao; Zhiwu Li 001; Peiyong Duan (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Reinforcement Learning-Assisted Memetic Algorithm for Sustainability-Oriented Multiobjective Distributed Flow Shop Group Scheduling. - Yuhang Wang; Yuyan Han; Yuting Wang 003; Xianpeng Wang 002; Yiping Liu; Kaizhou Gao (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Prediction and Feedback Assisted Evolutionary Algorithms for Scheduling Urban Traffic Signals. - Zhongjie Lin; Kaizhou Gao; Peiyong Duan; Naiqi Wu; Ponnuthurai Nagaratnam Suganthan (IEEE Trans. Intell. Transp. Syst., 2025)