Kaizhou Gao

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 93

Top Venues

Swarm Evol. Comput.

Expert Syst. Appl.

IEEE Trans. Intell. Transp. Syst.

IEEE Trans. Syst. Man Cybern. Syst.

Publications

Hui Yu, Kaizhou Gao, Naiqi Wu, MengChu Zhou, Ponnuthurai N. Suganthan, Shouguang Wang
Scheduling Multiobjective Dynamic Surgery Problems via Q-Learning-Based Meta-Heuristics. IEEE Trans. Syst. Man Cybern. Syst. 54 (6) (2024)
Fuquan Wang, Yaping Fu, Kaizhou Gao, Yaoxin Wu, Song Gao
A Q-Learning Based Hybrid Meta-Heuristic for Integrated Scheduling of Disassembly and Reprocessing Processes Considering Product Structures and Stochasticity. Complex Syst. Model. Simul. 4 (2) (2024)
Ruixue Zhang, Hui Yu, Kaizhou Gao, Yaping Fu, Joong Hoon Kim
A Q-learning based artificial bee colony algorithm for solving surgery scheduling problems with setup time. Swarm Evol. Comput. 90 (2024)
Youjun An, Ziye Zhao, Kaizhou Gao, Yuanfa Dong, Xiaohui Chen, Bin Zhou
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. Swarm Evol. Comput. 89 (2024)
Junqing Li, Yuyan Han, Kaizhou Gao, Xiumei Xiao, Peiyong Duan
Bi-Population Balancing Multi-Objective Algorithm for Fuzzy Flexible Job Shop With Energy and Transportation. IEEE Trans Autom. Sci. Eng. 21 (3) (2024)
Jun-qing Li, Jiake Li, Kaizhou Gao, Peiyong Duan
Two-level balancing multi-objective algorithm for trapezoidal type-2 fuzzy flexible job shop problems. Inf. Sci. 678 (2024)
Qianhui Ji, Yuyan Han, Yuting Wang, Biao Zhang, Kaizhou Gao
A Penalty Groups-Assisted Iterated Greedy Integrating Idle Time Insertion: Solving the Hybrid Flow Shop Group Scheduling with Delivery Time Windows. Complex Syst. Model. Simul. 4 (2) (2024)
Xinrui Wang, Junqing Li, Yuanyuan Zhang, Kaizhou Gao, Zhixin Zheng, Jiake Li, Ying Xu
A bi-evolutionary cooperative multi-objective algorithm for blocking group flow shop with outsourcing option. Expert Syst. Appl. 258 (2024)
Yaping Fu, Xiaomeng Ma, Kaizhou Gao, Hongfeng Wang, Ali Sadollah, L. Y. Chen
Multi-objective migrating birds optimization for solving stochastic home health care routing and scheduling problems considering caregiver working time constraints. Swarm Evol. Comput. 85 (2024)
Yuxia Pan, Kaizhou Gao, Zhiwu Li, Naiqi Wu
A Novel Evolutionary Algorithm for Scheduling Distributed No-Wait Flow Shop Problems. IEEE Trans. Syst. Man Cybern. Syst. 54 (6) (2024)
Zhengpei Zhang, Yaping Fu, Kaizhou Gao, Hui Zhang, Lei Wang
A cooperative evolutionary algorithm with simulated annealing for integrated scheduling of distributed flexible job shops and distribution. Swarm Evol. Comput. 85 (2024)
Yaping Fu, Mengchu Zhou, Xiwang Guo, Liang Qi, Kaizhou Gao, Aiiad Albeshri
Multiobjective Scheduling of Energy-Efficient Stochastic Hybrid Open Shop With Brain Storm Optimization and Simulation Evaluation. IEEE Trans. Syst. Man Cybern. Syst. 54 (7) (2024)
Pei Liang, Yaping Fu, Kaizhou Gao
Multi-product disassembly line balancing optimization method for high disassembly profit and low energy consumption with noise pollution constraints. Eng. Appl. Artif. Intell. 130 (2024)
Yuting Wang, Yuyan Han, Huan Li, Junqing Li, Kaizhou Gao, Yiping Liu
Theoretical analysis and implementation of mandatory operations-based accelerated search in graph space for hybrid flow shop scheduling. Expert Syst. Appl. 257 (2024)
Yaping Fu, Feng Ding, Zongyu Mu, Cuihua Sun, Kaizhou Gao
Integrating scheduling and routing decisions into home health care operation with skill requirements and uncertainties. J. Simulation 18 (3) (2024)
Xiaoqing Han, Weiyao Cheng, Leilei Meng, Biao Zhang, Kaizhou Gao, Chaoyong Zhang, Peng Duan
A dual population collaborative genetic algorithm for solving flexible job shop scheduling problem with AGV. Swarm Evol. Comput. 86 (2024)
Leilei Meng, Peng Duan, Kaizhou Gao, Biao Zhang, Wen-Qiang Zou, Yuyan Han, Chaoyong Zhang
MIP modeling of energy-conscious FJSP and its extended problems:From simplicity to complexity. Expert Syst. Appl. 241 (2024)
Chengshuai Li, Yuyan Han, Biao Zhang, Yuting Wang, Junqing Li, Kaizhou Gao
A novel collaborative iterative greedy algorithm for hybrid flowshop scheduling problem with batch processing machines and variable sublots. Int. J. Prod. Res. 62 (11) (2024)
Oladayo S. Ajani, Dzeuban Fenyom Ivan, Daison Darlan, Ponnuthurai N. Suganthan, Kaizhou Gao, Rammohan Mallipeddi
Deep reinforcement learning as multiobjective optimization benchmarks: Problem formulation and performance assessment. Swarm Evol. Comput. 90 (2024)
Kaizhou Gao, Minglong Gao, Mengchu Zhou, Zhenfang Ma
Artificial intelligence algorithms in unmanned surface vessel task assignment and path planning: A survey. Swarm Evol. Comput. 86 (2024)
Yaxian Ren, Kaizhou Gao, Yaping Fu, Dachao Li, Ponnuthurai Nagaratnam Suganthan
Ensemble artificial bee colony algorithm with Q-learning for scheduling Bi-objective disassembly line. Appl. Soft Comput. 155 (2024)
Yaping Fu, Yifeng Wang, Kaizhou Gao, Ponnuthurai Nagaratnam Suganthan, Min Huang
Integrated scheduling of multi-constraint open shop and vehicle routing: Mathematical model and learning-driven brain storm optimization algorithm. Appl. Soft Comput. 163 (2024)
Peng Duan, Zhenao Yu, Kaizhou Gao, Leilei Meng, Yuyan Han, Fan Ye
Solving the multi-objective path planning problem for mobile robot using an improved NSGA-II algorithm. Swarm Evol. Comput. 87 (2024)
Jianhui Mou, Peiyong Duan, Liang Gao, Quanke Pan, Kaizhou Gao, Amit Kumar Singh
Biologically Inspired Machine Learning-Based Trajectory Analysis in Intelligent Dispatching Energy Storage System. IEEE Trans. Intell. Transp. Syst. 24 (4) (2023)
Youjun An, Xiaohui Chen, Kaizhou Gao, Lin Zhang, Yinghe Li, Ziye Zhao
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. Expert Syst. Appl. 212 (2023)
Leilei Meng, Chaoyong Zhang, Biao Zhang, Kaizhou Gao, Yaping Ren, Hongyan Sang
MILP modeling and optimization of multi-objective flexible job shop scheduling problem with controllable processing times. Swarm Evol. Comput. 82 (2023)
Xiaomeng Ma, Yaping Fu, Kaizhou Gao, Hui Zhang, Jianhui Mou
A knowledge-based multi-objective evolutionary algorithm for solving home health care routing and scheduling problems with multiple centers. Appl. Soft Comput. 144 (2023)
Zhongjie Lin, Kaizhou Gao, Naiqi Wu, Ponnuthurai Nagaratnam Suganthan
Scheduling Eight-Phase Urban Traffic Light Problems via Ensemble Meta-Heuristics and Q-Learning Based Local Search. IEEE Trans. Intell. Transp. Syst. 24 (12) (2023)
Yushuang Hou, Hongfeng Wang, Yaping Fu, Kaizhou Gao, Hui Zhang
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. Comput. Ind. Eng. 179 (2023)
Yuxia Pan, Kaizhou Gao, Zhiwu Li, Naiqi Wu
Improved Meta-Heuristics for Solving Distributed Lot-Streaming Permutation Flow Shop Scheduling Problems. IEEE Trans Autom. Sci. Eng. 20 (1) (2023)
Jiaming Su, Yaping Fu, Kaizhou Gao, Hongyu Dong, Jianhui Mou
Integrated scheduling problems of open shop and vehicle routing using an ensemble of group teaching optimization and simulated annealing. Swarm Evol. Comput. 83 (2023)
Yuhang Wang, Yuyan Han, Yuting Wang, Junqing Li, Kaizhou Gao, Yiping Liu
An effective two-stage iterated greedy algorithm for distributed flowshop group scheduling problem with setup time. Expert Syst. Appl. 233 (2023)
Jianhui Mou, Kaizhou Gao, Peiyong Duan, Junqing Li, Akhil Garg, Rohit Sharma
A Machine Learning Approach for Energy-Efficient Intelligent Transportation Scheduling Problem in a Real-World Dynamic Circumstances. IEEE Trans. Intell. Transp. Syst. 24 (12) (2023)
Yuxia Pan, Kaizhou Gao, Zhi-Wu Li, Naiqi Wu
Solving Biobjective Distributed Flow-Shop Scheduling Problems With Lot-Streaming Using an Improved Jaya Algorithm. IEEE Trans. Cybern. 53 (6) (2023)
Weiyu Tang, Kaizhou Gao, Minglong Gao, Zhenfang Ma
Combining Meta-heuristics and K-Means++ for Solving Unmanned Surface Vessels Task Assignment and Path Planning Problems. ICNSC (2023)
Yaxian Ren, Kaizhou Gao, Yaping Fu, Hongyan Sang, Dachao Li, Zile Luo
A novel Q-learning based variable neighborhood iterative search algorithm for solving disassembly line scheduling problems. Swarm Evol. Comput. 80 (2023)
Liang Wang, Kaizhou Gao, Zhongjie Lin, Wuze Huang, Ponnuthurai Nagaratnam Suganthan
Problem feature based meta-heuristics with Q-learning for solving urban traffic light scheduling problems. Appl. Soft Comput. 147 (2023)
Youjun An, Xiaohui Chen, Kaizhou Gao, Lin Zhang, Yinghe Li, Ziye Zhao
Integrated optimization of real-time order acceptance and flexible job-shop rescheduling with multi-level imperfect maintenance constraints. Swarm Evol. Comput. 77 (2023)
Xiaomeng Ma, Yaping Fu, Kaizhou Gao, Lihua Zhu, Ali Sadollah
A Multi-Objective Scheduling and Routing Problem for Home Health Care Services via Brain Storm Optimization. Complex Syst. Model. Simul. 3 (1) (2023)
Yuhang Wang, Yuyan Han, Yuting Wang, Mehmet Fatih Tasgetiren, Jun-Qing Li, Kaizhou Gao
Intelligent optimization under the makespan constraint: Rapid evaluation mechanisms based on the critical machine for the distributed flowshop group scheduling problem. Eur. J. Oper. Res. 311 (3) (2023)
Yong Zhang, Ying Hu, Xiaozhi Gao, Dunwei Gong, Yinan Guo, Kaizhou Gao, Wanqiu Zhang
An embedded vertical-federated feature selection algorithm based on particle swarm optimisation. CAAI Trans. Intell. Technol. 8 (3) (2023)
Zhong-Kai Li, Hongyan Sang, Quanke Pan, Kaizhou Gao, Yuyan Han, Junqing Li
Dynamic AGV Scheduling Model With Special Cases in Matrix Production Workshop. IEEE Trans. Ind. Informatics 19 (6) (2023)
Yong Wang, Yuting Wang, Yuyan Han, Junqing Li, Kaizhou Gao, Yusuke Nojima
Intelligent Optimization Under Multiple Factories: Hybrid Flow Shop Scheduling Problem with Blocking Constraints Using an Advanced Iterated Greedy Algorithm. Complex Syst. Model. Simul. 3 (4) (2023)
Youjun An, Xiaohui Chen, Kaizhou Gao, Yinghe Li, Lin Zhang
Multiobjective Flexible Job-Shop Rescheduling With New Job Insertion and Machine Preventive Maintenance. IEEE Trans. Cybern. 53 (5) (2023)
Minglong Gao, Kaizhou Gao, Zhen-Fang Ma, Weiyu Tang
Ensemble meta-heuristics and Q-learning for solving unmanned surface vessels scheduling problems. Swarm Evol. Comput. 82 (2023)
Hanxiao Li, Kaizhou Gao, Pei-Yong Duan, Jun-Qing Li, Le Zhang
An Improved Artificial Bee Colony Algorithm With Q-Learning for Solving Permutation Flow-Shop Scheduling Problems. IEEE Trans. Syst. Man Cybern. Syst. 53 (5) (2023)
Ziye Zhao, Xiaohui Chen, Youjun An, Yinghe Li, Kaizhou Gao
A property-based hybrid genetic algorithm and tabu search for solving order acceptance and scheduling problem with trapezoidal penalty membership function. Expert Syst. Appl. 218 (2023)
Yuanzhen Li, Kaizhou Gao, Leilei Meng, Ponnuthurai Nagaratnam Suganthan
A problem-specific knowledge based artificial bee colony algorithm for scheduling distributed permutation flowshop problems with peak power consumption. Eng. Appl. Artif. Intell. 126 (2023)
Liang Wang, Kaizhou Gao, Zhongjie Lin, Wuze Huang
Problem Feature-Based Meta-Heuristics with Reinforcement Learning for Solving Urban Traffic Light Scheduling Problems. ITSC (2022)
Yushuang Hou, Yaping Fu, Kaizhou Gao, Hui Zhang, Ali Sadollah
Modelling and optimization of integrated distributed flow shop scheduling and distribution problems with time windows. Expert Syst. Appl. 187 (2022)
Ren Wang, Mengchu Zhou, Kaizhou Gao, Ahmed Alabdulwahab, Muhyaddin J. Rawa
Personalized Route Planning System Based on Driver Preference. Sensors 22 (1) (2022)
Xiaomeng Ma, Yaping Fu, Kaizhou Gao, Ali Sadollah, Kai Wang
Integration routing and scheduling for multiple home health care centers using a multi-objective cooperation evolutionary algorithm with stochastic simulation. Swarm Evol. Comput. 75 (2022)
Yun Huang, Kaizhou Gao, Kai Wang, Haili Lv, Fan Gao
Analytical target cascading for multi-level supply chain decisions in cloud perspective. Ind. Manag. Data Syst. 122 (6) (2022)
Palwasha W. Shaikh, Mohammed El-Abd, Mounib Khanafer, Kaizhou Gao
A Review on Swarm Intelligence and Evolutionary Algorithms for Solving the Traffic Signal Control Problem. IEEE Trans. Intell. Transp. Syst. 23 (1) (2022)
Guo-Xing Wen, Wei Hao, Weiwei Feng, Kaizhou Gao
Optimized Backstepping Tracking Control Using Reinforcement Learning for Quadrotor Unmanned Aerial Vehicle System. IEEE Trans. Syst. Man Cybern. Syst. 52 (8) (2022)
Ruibing Jin, Min Wu, Keyu Wu, Kaizhou Gao, Zhenghua Chen, Xiaoli Li
Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction. IEEE CAA J. Autom. Sinica 9 (8) (2022)
Yaping Fu, Yushuang Hou, Zhenghua Chen, Xujin Pu, Kaizhou Gao, Ali Sadollah
Modelling and scheduling integration of distributed production and distribution problems via black widow optimization. Swarm Evol. Comput. 68 (2022)
Leilei Meng, Kaizhou Gao, Yaping Ren, Biao Zhang, Hongyan Sang, Chaoyong Zhang
Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times. Swarm Evol. Comput. 71 (2022)
Zifan Wang, Xinwei Wu, Kaizhou Gao, Hua Jiang
An Improved Artificial Bee Colony Algorithm for Assembly Line Balancing Problem of Electric Vehicle. ASCC (2022)
Zicheng Liu, Naiqi Wu, Kaizhou Gao
Urban Traffic Light Control Considering Capacity Difference Between Public Bus and Private Vehicles. IEEE Access 9 (2021)
Yunyun Niu, Yongpeng Zhang, Zhiguang Cao, Kaizhou Gao, Jianhua Xiao, Wen Song, Fangwei Zhang
MIMOA: A membrane-inspired multi-objective algorithm for green vehicle routing problem with stochastic demands. Swarm Evol. Comput. 60 (2021)
Yuan Zhao, Hong Liu, Kaizhou Gao
An evacuation simulation method based on an improved artificial bee colony algorithm and a social force model. Appl. Intell. 51 (1) (2021)
Zhenghua Chen, Min Wu, Kaizhou Gao, Jiyan Wu, Jie Ding, Zeng Zeng, Xiaoli Li
A Novel Ensemble Deep Learning Approach for Sleep-Wake Detection Using Heart Rate Variability and Acceleration. IEEE Trans. Emerg. Top. Comput. Intell. 5 (5) (2021)
Zhiguang Cao, Hongliang Guo, Wen Song, Kaizhou Gao, Liujiang Kang, Xuexi Zhang, Qilun Wu
Improving the Performance of Transportation Networks: A Semi-Centralized Pricing Approach. IEEE Trans. Intell. Transp. Syst. 22 (10) (2021)
Jian Lin, Lei Zhu, Kaizhou Gao
A genetic programming hyper-heuristic approach for the multi-skill resource constrained project scheduling problem. Expert Syst. Appl. 140 (2020)
Kaizhou Gao, Fajun Yang, Junqing Li, Hongyan Sang, Jianping Luo
Improved Jaya Algorithm for Flexible Job Shop Rescheduling Problem. IEEE Access 8 (2020)
Le Zhang, Zhenghua Chen, Wei Cui, Bing Li, Cen Chen, Zhiguang Cao, Kaizhou Gao
WiFi-Based Indoor Robot Positioning Using Deep Fuzzy Forests. IEEE Internet Things J. 7 (11) (2020)
FaJun Yang, Yan Qiao, Kaizhou Gao, Naiqi Wu, Yuting Zhu, Ian Ware Simon, Rong Su
Efficient Approach to Scheduling of Transient Processes for Time-Constrained Single-Arm Cluster Tools With Parallel Chambers. IEEE Trans. Syst. Man Cybern. Syst. 50 (10) (2020)
Ping Wang, Hongyan Sang, Qiuyun Tao, Hengwei Guo, Junqing Li, Kaizhou Gao, Yuyan Han
Improved Migrating Birds Optimization Algorithm to Solve Hybrid Flowshop Scheduling Problem With Lot-Streaming. IEEE Access 8 (2020)
Yuyan Han, Junqing Li, Hongyan Sang, Yiping Liu, Kaizhou Gao, Quanke Pan
Discrete evolutionary multi-objective optimization for energy-efficient blocking flow shop scheduling with setup time. Appl. Soft Comput. 93 (2020)
Zhiguang Cao, Hongliang Guo, Wen Song, Kaizhou Gao, Zhenghua Chen, Le Zhang, Xuexi Zhang
Using Reinforcement Learning to Minimize the Probability of Delay Occurrence in Transportation. IEEE Trans. Veh. Technol. 69 (3) (2020)
Yi Zhang, Kaizhou Gao, Yicheng Zhang, Rong Su
Traffic Light Scheduling for Pedestrian-Vehicle Mixed-Flow Networks. IEEE Trans. Intell. Transp. Syst. 20 (4) (2019)
Kaizhou Gao, Yicheng Zhang, Rong Su, Fajun Yang, Ponnuthurai Nagaratnam Suganthan, MengChu Zhou
Solving Traffic Signal Scheduling Problems in Heterogeneous Traffic Network by Using Meta-Heuristics. IEEE Trans. Intell. Transp. Syst. 20 (9) (2019)
Jianping Luo, Xiongwen Huang, Xia Li, Kaizhou Gao
A novel particle swarm optimizer for many-objective optimization. CEC (2019)
Junqing Li, Hongyan Sang, Quanke Pan, Peiyong Duan, Kaizhou Gao
Solving multi-area environmental/ economic dispatch by Pareto-based chemical-reaction optimization algorithm. IEEE CAA J. Autom. Sinica 6 (5) (2019)
Shouna Wang, Hong Liu, Kaizhou Gao, Jianxin Zhang
A Multi-Species Artificial Bee Colony Algorithm and Its Application for Crowd Simulation. IEEE Access 7 (2019)
Yun Huang, Kai Wang, Kaizhou Gao, Ting Qu, Hong Liu
Jointly optimizing microgrid configuration and energy consumption scheduling of smart homes. Swarm Evol. Comput. 48 (2019)
Kaizhou Gao, Yi Zhang, Yicheng Zhang, Rong Su, Ponnuthurai Nagaratnam Suganthan
Meta-Heuristics for Bi-Objective Urban Traffic Light Scheduling Problems. IEEE Trans. Intell. Transp. Syst. 20 (7) (2019)
Kaizhou Gao, Zhiguang Cao, Le Zhang, Zhenghua Chen, Yuyan Han, Quanke Pan
A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems. IEEE CAA J. Autom. Sinica 6 (4) (2019)
Qingqing Wang, Hong Liu, Kaizhou Gao, Le Zhang
Improved Multi-Agent Reinforcement Learning for Path Planning-Based Crowd Simulation. IEEE Access 7 (2019)
Kaizhou Gao, Fajun Yang, MengChu Zhou, Quan-Ke Pan, Ponnuthurai Nagaratnam Suganthan
Flexible Job-Shop Rescheduling for New Job Insertion by Using Discrete Jaya Algorithm. IEEE Trans. Cybern. 49 (5) (2019)
Jianping Luo, Yun Yang, Qiqi Liu, Xia Li, Min-Rong Chen, Kaizhou Gao
A new hybrid memetic multi-objective optimization algorithm for multi-objective optimization. Inf. Sci. (2018)
Jianping Luo, Yun Yang, Xia Li, Qiqi Liu, Min-Rong Chen, Kaizhou Gao
A decomposition-based multi-objective evolutionary algorithm with quality indicator. Swarm Evol. Comput. 39 (2018)
Fajun Yang, Kaizhou Gao, Ian Ware Simon, Yuting Zhu, Rong Su
Decomposition methods for manufacturing system scheduling: a survey. IEEE CAA J. Autom. Sinica 5 (2) (2018)
Kaizhou Gao, Pei-Yong Duan, Rong Su, Junqing Li
Bi-objective Water Cycle Algorithm for Solving Remanufacturing Rescheduling Problem. SEAL (2017)
Yi Zhang, Rong Su, Kaizhou Gao, Yicheng Zhang
Traffic light scheduling for pedestrians and vehicles. CCTA (2017)
Ali Sadollah, Neha Yadav, Kaizhou Gao, Rong Su
Metaheuristic optimisation methods for approximate solving of singular boundary value problems. J. Exp. Theor. Artif. Intell. 29 (4) (2017)
Kaizhou Gao, Yicheng Zhang, Ali Sadollah, Antonios F. Lentzakis, Rong Su
Jaya, harmony search and water cycle algorithms for solving large-scale real-life urban traffic light scheduling problem. Swarm Evol. Comput. 37 (2017)
Jian Lin, Dike Luo, Xiaodong Li, Kaizhou Gao, Yanan Liu
Differential Evolution Based Hyper-heuristic for the Flexible Job-Shop Scheduling Problem with Fuzzy Processing Time. SEAL (2017)
Kaizhou Gao, Yicheng Zhang, Yi Zhang, Rong Su
A meta-heuristic with ensemble of local search operators for urban traffic light optimization. SSCI (2017)
Mehmet Fatih Tasgetiren, Quan-Ke Pan, Damla Kizilay, Kaizhou Gao
A Variable Block Insertion Heuristic for the Blocking Flowshop Scheduling Problem with Total Flowtime Criterion. Algorithms 9 (4) (2016)
Kaizhou Gao, Ali Sadollah, Yicheng Zhang, Rong Su, Junqing Li
Discrete Jaya algorithm for flexible job shop scheduling problem with new job insertion. ICARCV (2016)
Kaizhou Gao, Yicheng Zhang, Ali Sadollah, Rong Su
Optimizing urban traffic light scheduling problem using harmony search with ensemble of local search. Appl. Soft Comput. 48 (2016)
Yicheng Zhang, Rong Su, Kaizhou Gao
Urban road traffic light real-time scheduling. CDC (2015)
Shantanab Debchoudhury, Debabrota Basu, Kaizhou Gao, Ponnuthurai Nagaratnam Suganthan
Load Information Based Priority Dependant Heuristic for Manpower Scheduling Problem in Remanufacturing. SEMCCO (1) (2013)
Debabrota Basu, Shantanab Debchoudhury, Kaizhou Gao, Ponnuthurai Nagaratnam Suganthan
A Novel Improved Discrete ABC Algorithm for Manpower Scheduling Problem in Remanufacturing. SEMCCO (1) (2013)
Kaizhou Gao, Ponnuthurai Nagaratnam Suganthan, Tay Jin Chua, Tian Xiang Cai, Chin-Soon Chong
Hybrid discrete harmony search algorithm for scheduling re-processing problem in remanufacturing. GECCO (2013)
Kaizhou Gao, Ponnuthurai N. Suganthan, Zhenqiang Bao
A composite heuristic for the no-wait flow shop scheduling. IEEE Congress on Evolutionary Computation (2012)
Kaizhou Gao, Ponnuthurai Nagaratnam Suganthan, Tay Jin Chua
Pareto-based discrete harmony search algorithm for flexible job shop scheduling. ISDA (2012)
Kaizhou Gao, Quan-Ke Pan, Junqing Li, Yu-Ting Wang, Jing Liang
A Hybrid Harmony Search Algorithm for the no-Wait Flow-shop Scheduling Problems. Asia Pac. J. Oper. Res. 29 (2) (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kaizhou Gao