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Yaping Fu
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2020 – today
- 2024
- [j38]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) - [j37]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) - [j36]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) - [j35]Yaping Fu
Review on ensemble meta-heuristics and reinforcement learning for manufacturing scheduling problems. Comput. Electr. Eng. 120: 109780 (2024) - [j34]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) - [j33]Pei Liang
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) - [j32]Yanke Li, Huabo Shen, Yaping Fu, Kai Wang:
A method of dense point cloud SLAM based on improved YOLOV8 and fused with ORB-SLAM3 to cope with dynamic environments. Expert Syst. Appl. 255: 124918 (2024) - [j31]Yaping Fu, Feng Ding
Integrating scheduling and routing decisions into home health care operation with skill requirements and uncertainties. J. Simulation 18(3): 259-282 (2024) - [j30]Zhengpei Zhang, Yaping Fu, Kaizhou Gao
A cooperative evolutionary algorithm with simulated annealing for integrated scheduling of distributed flexible job shops and distribution. Swarm Evol. Comput. 85: 101467 (2024) - [j29]Yaping Fu, Xiaomeng Ma, Kaizhou Gao
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) - [j28]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) - [j27]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) - [j26]Yaping Fu, Xiaomeng Ma, Kai-Zhou Gao
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) - [j25]Yaping Fu, Mengchu Zhou
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) - [c11]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
- [j24]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) - [j23]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) - [j22]Amir Mohammad Fathollahi Fard, Guangdong Tian, Hua Ke
Efficient multi-objective metaheuristic algorithm for sustainable harvest planning problem. Comput. Oper. Res. 158: 106304 (2023) - [j21]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) - [j20]Yaxian Ren, Kaizhou Gao
A novel Q-learning based variable neighborhood iterative search algorithm for solving disassembly line scheduling problems. Swarm Evol. Comput. 80: 101338 (2023) - [j19]Jiaming Su, Yaping Fu, Kaizhou Gao
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) - [j18]Yaping Fu, Haobin Li
Bi-Objective Modeling and Optimization for Stochastic Two-Stage Open Shop Scheduling Problems in the Sharing Economy. IEEE Trans. Engineering Management 70(10): 3395-3409 (2023) - 2022
- [j17]Yushuang Hou, Yaping Fu, Kaizhou Gao
Modelling and optimization of integrated distributed flow shop scheduling and distribution problems with time windows. Expert Syst. Appl. 187: 115827 (2022) - [j16]Yaping Fu, Yushuang Hou, Zhenghua Chen
Modelling and scheduling integration of distributed production and distribution problems via black widow optimization. Swarm Evol. Comput. 68: 101015 (2022) - [j15]Xiaomeng Ma, Yaping Fu, Kaizhou Gao
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) - [j14]Xujin Pu, Yuchen Xu, Yaping Fu:
Integrated Scheduling of Picking and Distribution of Fresh Agricultural Products for Community Supported Agriculture Mode. Symmetry 14(12): 2530 (2022) - [j13]Yaping Fu, MengChu Zhou
Multiverse Optimization Algorithm for Stochastic Biobjective Disassembly Sequence Planning Subject to Operation Failures. IEEE Trans. Syst. Man Cybern. Syst. 52(2): 1041-1051 (2022) - [c10]Yaping Fu, Yushuang Hou, Xiwang Guo, Liang Qi, Hongfeng Wang
Scheduling a Permutation Flow Shop in the Context of Industry 4.0. ICNSC 2022: 1-6 - 2021
- [j12]Yaping Fu, Hui Xiao, Loo Hay Lee, Min Huang:
Stochastic optimization using grey wolf optimization with optimal computing budget allocation. Appl. Soft Comput. 103: 107154 (2021) - [j11]Yafei Li, Hongfeng Wang
Dynamic Large-Scale Server Scheduling for IVF Queuing Network in Cloud Healthcare System. Complex. 2021: 6670288:1-6670288:15 (2021) - [j10]Yaping Fu, Hongfeng Wang
Multiobjective Modeling and Optimization for Scheduling a Stochastic Hybrid Flow Shop With Maximizing Processing Quality and Minimizing Total Tardiness. IEEE Syst. J. 15(3): 4696-4707 (2021) - [c9]Pei Liang, Yaping Fu, Xiwang Guo, Liang Qi:
Stochastic multi-product disassembly sequence planning. CASE 2021: 1201-1206 - [c8]Yushuang Hou, Yaping Fu, Mengchu Zhou, Xiwang Guo, Liang Qi:
Integrated Distributed Production and Distribution Problem for Minimizing Earliness and Tardiness Penalty. ICNSC 2021: 1-6 - 2020
- [j9]Yaping Fu, MengChu Zhou
Scheduling Dual-Objective Stochastic Hybrid Flow Shop With Deteriorating Jobs via Bi-Population Evolutionary Algorithm. IEEE Trans. Syst. Man Cybern. Syst. 50(12): 5037-5048 (2020) - [c7]Yaping Fu, Xiwang Guo, Liang Qi:
Scheduling a Stochastic Remanufacturing Process with Disassembly, Reprocessing and Reassembly. ICNSC 2020: 1-6
2010 – 2019
- 2019
- [j8]Yaping Fu, Mengchu Zhou
Artificial-Molecule-Based Chemical Reaction Optimization for Flow Shop Scheduling Problem With Deteriorating and Learning Effects. IEEE Access 7: 53429-53440 (2019) - [j7]Yaping Fu, Hongfeng Wang
Integrated scheduling for a distributed manufacturing system: a stochastic multi-objective model. Enterp. Inf. Syst. 13(4): 557-573 (2019) - [j6]Yaping Fu, Hongfeng Wang
Two-agent stochastic flow shop deteriorating scheduling via a hybrid multi-objective evolutionary algorithm. J. Intell. Manuf. 30(5): 2257-2272 (2019) - [j5]Yaping Fu, Hongfeng Wang
A decomposition based multiobjective genetic algorithm with adaptive multipopulation strategy for flowshop scheduling problem. Nat. Comput. 18(4): 757-768 (2019) - [c6]Yuanhao Qi, Yinuo Huang, Yuanyuan Ye, Wanli Wang, Yaping Fu, Kai Wang
Multi-Objective Electric Truck Path Optimization Model with Time Window. CRC 2019: 128-132 - [c5]Xiwang Guo, MengChu Zhou, Yaping Fu, Liang Qi, Dan You:
Stochastic Dual-objective Disassembly Sequence Planning with Consideration of Learning Effect. ICNSC 2019: 29-34 - [c4]Ronghe Zhou, Xiwang Guo, Yaping Fu, Liang Qi:
Solving Sequence-dependent Disassembly Line Balancing Problem with Improved Cuckoo Search Algorithm. SMC 2019: 403-408 - 2018
- [j4]Yaping Fu, Jinliang Ding
Two-objective stochastic flow-shop scheduling with deteriorating and learning effect in Industry 4.0-based manufacturing system. Appl. Soft Comput. 68: 847-855 (2018) - [c3]Yaping Fu, Mengchu Zhou, Xiwang Guo, Liang Qi:
Stochastic Disassembly Sequence Optimization for Profit and Energy Consumption. SMC 2018: 1410-1415 - 2017
- [j3]Hongfeng Wang
A NSGA-II based memetic algorithm for multiobjective parallel flowshop scheduling problem. Comput. Ind. Eng. 113: 185-194 (2017) - [j2]Hongfeng Wang
A hybrid evolutionary algorithm with adaptive multi-population strategy for multi-objective optimization problems. Soft Comput. 21(20): 5975-5987 (2017) - 2016
- [j1]Hongfeng Wang
Multiobjective optimisation design for enterprise system operation in the case of scheduling problem with deteriorating jobs. Enterp. Inf. Syst. 10(3): 268-285 (2016) - 2015
- [c2]Hongfeng Wang
A species based multiobjective evolutionary algorithm for multiobjective flow shop scheduling problem. CEC 2015: 3243-3247 - 2014
- [c1]Yaping Fu, Hongfeng Wang
Locate Multiple Pareto Optima Using a Species-Based Multi-objective Genetic Algorithm. BIC-TA 2014: 128-137
Coauthor Index
aka: Kaizhou Gao
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