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2020 – today
- 2025
[j115]Chenyao Zhang
, Yuyan Han, Yu-Ting Wang, Junqing Li, Kaizhou Gao:
An accelerated discrete artificial bee colony algorithm under the makespan constraint: Solving the distributed blocking flow shop scheduling problem with balanced energy consumption costs. Expert Syst. Appl. 260: 125374 (2025)- 2024
- [j114]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: 111415 (2024) - [j113]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: 111943 (2024) - [j112]Hui Yu, Kaizhou Gao, Zhiwu Li, Ponnuthurai Nagaratnam Suganthan:
Energy-efficient multi-objective distributed assembly permutation flowshop scheduling by Q-learning based meta-heuristics. Appl. Soft Comput. 166: 112247 (2024) - [j111]Zhengpei Zhang, Yaping Fu, Kaizhou Gao, Quanke Pan, Min Huang:
A learning-driven multi-objective cooperative artificial bee colony algorithm for distributed flexible job shop scheduling problems with preventive maintenance and transportation operations. Comput. Ind. Eng. 196: 110484 (2024) - [j110]Yaping Fu, Yifeng Wang, Kaizhou Gao, Min Huang:
Review on ensemble meta-heuristics and reinforcement learning for manufacturing scheduling problems. Comput. Electr. Eng. 120: 109780 (2024) - [j109]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): 137-165 (2024) - [j108]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): 184-209 (2024) - [j107]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: 107721 (2024) - [j106]Hui Yu, Kai-Zhou Gao, Naiqi Wu, Ponnuthurai Nagaratnam Suganthan:
Ensemble meta-heuristics and Q-learning for staff dissatisfaction constrained surgery scheduling and rescheduling. Eng. Appl. Artif. Intell. 134: 108668 (2024) - [j105]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: 122594 (2024) - [j104]Zi-Jiang Liu, Hong-yan Sang, Chang-Zhe Zheng, Hao Chi, Kai-Zhou Gao, Yu-Yan Han:
An effective multi-restart iterated greedy algorithm for multi-AGVs dispatching problem in the matrix manufacturing workshop. Expert Syst. Appl. 252: 124223 (2024) - [j103]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: 125026 (2024) - [j102]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: 125101 (2024) - [j101]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): 4076-4096 (2024) - [j100]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: 121011 (2024) - [j99]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): 259-282 (2024) - [j98]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: 101467 (2024) - [j97]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: 101484 (2024) - [j96]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: 101505 (2024) - [j95]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: 101538 (2024) - [j94]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: 101576 (2024) - [j93]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: 101643 (2024) - [j92]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: 101686 (2024) - [j91]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: 101692 (2024) - [j90]Benxue Lu, Kaizhou Gao, Yaxian Ren, Dachao Li, Adam Slowik:
Combining meta-heuristics and Q-learning for scheduling lot-streaming hybrid flow shops with consistent sublots. Swarm Evol. Comput. 91: 101731 (2024) - [j89]Yifeng Wang, Yaping Fu, Kaizhou Gao, Humyun Fuad Rahman, Min Huang:
Open shop scheduling with group and transportation operations by learning-driven hyper-heuristic algorithms. Swarm Evol. Comput. 91: 101757 (2024) - [j88]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): 4686-4702 (2024) - [j87]Yaping Fu, Xiaomeng Ma, Kai-Zhou Gao, Zhiwu Li, Hongyu Dong:
Multi-Objective Home Health Care Routing and Scheduling With Sharing Service via a Problem-Specific Knowledge-Based Artificial Bee Colony Algorithm. IEEE Trans. Intell. Transp. Syst. 25(2): 1706-1719 (2024) - [j86]Lou-Lei Dai, Quan-Ke Pan, Zhong-Hua Miao, Ponnuthurai Nagaratnam Suganthan, Kai-Zhou Gao:
Multi-Objective Multi-Picking-Robot Task Allocation: Mathematical Model and Discrete Artificial Bee Colony Algorithm. IEEE Trans. Intell. Transp. Syst. 25(6): 6061-6073 (2024) - [j85]Lingchong Zhong, Wenfeng Li, Kaizhou Gao, Lijun He, Yong Zhou:
An Improved NSGAII for Integrated Container Scheduling Problems With Two Transshipment Routes. IEEE Trans. Intell. Transp. Syst. 25(10): 14586-14599 (2024) - [j84]Zhongjie Lin, Kaizhou Gao, Naiqi Wu, Ponnuthurai Nagaratnam Suganthan:
Problem-Specific Knowledge Based Multi-Objective Meta-Heuristics Combined Q-Learning for Scheduling Urban Traffic Lights With Carbon Emissions. IEEE Trans. Intell. Transp. Syst. 25(10): 15053-15064 (2024) - [j83]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): 3321-3333 (2024) - [j82]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): 3694-3704 (2024) - [j81]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): 4260-4272 (2024) - [j80]Junqing Li, Jiake Li, Kaizhou Gao, Peiyong Duan:
A Hybrid Graph-Based Imitation Learning Method for a Realistic Distributed Hybrid Flow Shop With Family Setup Time. IEEE Trans. Syst. Man Cybern. Syst. 54(12): 7291-7304 (2024) - [c39]Yifeng Wang, Mengyao Ji, Yaping Fu, Hongfeng Wang, Kaizhou Gao:
A Q-learning-Based Meta-heuristic Algorithm for Open Shop Scheduling Considering Group and Transportation Activities. CASE 2024: 2918-2923 - 2023
- [j79]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: 110491 (2023) - [j78]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: 110714 (2023) - [j77]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): 734-754 (2023) - [j76]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: 109217 (2023) - [j75]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): 32-46 (2023) - [j74]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): 282-306 (2023) - [j73]Hui Zhao, Quan-Ke Pan, Kai-Zhou Gao:
A cooperative population-based iterated greedy algorithm for distributed permutation flowshop group scheduling problem. Eng. Appl. Artif. Intell. 125: 106750 (2023) - [j72]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: 107011 (2023) - [j71]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): 816-832 (2023) - [j70]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: 118711 (2023) - [j69]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: 119598 (2023) - [j68]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: 120909 (2023) - [j67]Zhong-Kai Li, Hongyan Sang, Jun-Qing Li, Yu-Yan Han, Kai-Zhou Gao, Zhi-xin Zheng, Li-li Liu:
Invasive weed optimization for multi-AGVs dispatching problem in a matrix manufacturing workshop. Swarm Evol. Comput. 77: 101227 (2023) - [j66]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: 101243 (2023) - [j65]Hui Yu, Kai-Zhou Gao, Zhen-Fang Ma, Yuxia Pan:
Improved meta-heuristics with Q-learning for solving distributed assembly permutation flowshop scheduling problems. Swarm Evol. Comput. 80: 101335 (2023) - [j64]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: 101338 (2023) - [j63]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: 101358 (2023) - [j62]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: 101374 (2023) - [j61]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: 101373 (2023) - [j60]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): 361-371 (2023) - [j59]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): 3101-3113 (2023) - [j58]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): 3818-3828 (2023) - [j57]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): 7762-7770 (2023) - [j56]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): 4509-4518 (2023) - [j55]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): 14415-14426 (2023) - [j54]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): 15527-15539 (2023) - [j53]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): 2684-2693 (2023) - [c38]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: 1-6 - 2022
- [j52]Yuanzhen Li, Quan-Ke Pan, Xuan He, Hongyan Sang, Kai-Zhou Gao, Xue-Lei Jing:
The distributed flowshop scheduling problem with delivery dates and cumulative payoffs. Comput. Ind. Eng. 165: 107961 (2022) - [j51]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: 115827 (2022) - [j50]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): 1427-1439 (2022) - [j49]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): 1480-1498 (2022) - [j48]Ren Wang, Mengchu Zhou, Kaizhou Gao, Ahmed Alabdulwahab, Muhyaddin J. Rawa:
Personalized Route Planning System Based on Driver Preference. Sensors 22(1): 11 (2022) - [j47]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: 101015 (2022) - [j46]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: 101058 (2022) - [j45]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: 101175 (2022) - [j44]Jun-Qing Li, Yu Du, Kai-Zhou Gao, Pei-Yong Duan, Dun-Wei Gong, Quan-Ke Pan, Ponnuthurai N. Suganthan:
A Hybrid Iterated Greedy Algorithm for a Crane Transportation Flexible Job Shop Problem. IEEE Trans Autom. Sci. Eng. 19(3): 2153-2170 (2022) - [j43]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): 48-63 (2022) - [j42]Guoxing 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): 5004-5015 (2022) - [c37]Zifan Wang, Xinwei Wu, Kaizhou Gao, Hua Jiang:
An Improved Artificial Bee Colony Algorithm for Assembly Line Balancing Problem of Electric Vehicle. ASCC 2022: 1016-1020 - [c36]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: 845-850 - 2021
- [j41]Zicheng Liu, Naiqi Wu, Kaizhou Gao:
Urban Traffic Light Control Considering Capacity Difference Between Public Bus and Private Vehicles. IEEE Access 9: 142664-142680 (2021) - [j40]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): 100-123 (2021) - [j39]Yuanzhen Li, Quan-Ke Pan, Kai-Zhou Gao, Mehmet Fatih Tasgetiren, Biao Zhang, Jun-Qing Li:
A green scheduling algorithm for the distributed flowshop problem. Appl. Soft Comput. 109: 107526 (2021) - [j38]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: 100767 (2021) - [j37]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): 803-812 (2021) - [j36]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): 6353-6364 (2021) - 2020
- [j35]Kaizhou Gao, Fajun Yang, Junqing Li, Hongyan Sang, Jianping Luo:
Improved Jaya Algorithm for Flexible Job Shop Rescheduling Problem. IEEE Access 8: 86915-86922 (2020) - [j34]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: 89782-89792 (2020) - [j33]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: 106343 (2020) - [j32]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) - [j31]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): 10773-10781 (2020) - [j30]Kai-Zhou Gao, Z. M. He, Y. Huang, Pei-Yong Duan, Ponnuthurai N. Suganthan:
A survey on meta-heuristics for solving disassembly line balancing, planning and scheduling problems in remanufacturing. Swarm Evol. Comput. 57: 100719 (2020) - [j29]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): 3646-3657 (2020) - [j28]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): 2424-2436 (2020)
2010 – 2019
- 2019
- [j27]Shouna Wang, Hong Liu, Kaizhou Gao, Jianxin Zhang:
A Multi-Species Artificial Bee Colony Algorithm and Its Application for Crowd Simulation. IEEE Access 7: 2549-2558 (2019) - [j26]Qingqing Wang, Hong Liu, Kaizhou Gao, Le Zhang:
Improved Multi-Agent Reinforcement Learning for Path Planning-Based Crowd Simulation. IEEE Access 7: 73841-73855 (2019) - [j25]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): 904-916 (2019) - [j24]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): 1240-1250 (2019) - [j23]Hongyan Sang, Quan-Ke Pan, Jun-Qing Li, Ping Wang, Yu-Yan Han, Kai-Zhou Gao, Peng Duan:
Effective invasive weed optimization algorithms for distributed assembly permutation flowshop problem with total flowtime criterion. Swarm Evol. Comput. 44: 64-73 (2019) - [j22]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: 251-261 (2019) - [j21]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): 1944-1955 (2019) - [j20]Yi Zhang, Kaizhou Gao, Yicheng Zhang, Rong Su:
Traffic Light Scheduling for Pedestrian-Vehicle Mixed-Flow Networks. IEEE Trans. Intell. Transp. Syst. 20(4): 1468-1483 (2019) - [j19]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): 2618-2629 (2019) - [j18]Kaizhou Gao, Yicheng Zhang, Rong Su, Fajun Yang