Locate Multiple Pareto Optima Using a Species-Based Multi-objective Genetic Algorithm. - Yaping Fu; Hongfeng Wang; Min Huang 001 (BIC-TA, 2014)

A species based multiobjective evolutionary algorithm for multiobjective flow shop scheduling problem. - Hongfeng Wang; Yaping Fu; Min Huang 001 (CEC, 2015)

Multiobjective optimisation design for enterprise system operation in the case of scheduling problem with deteriorating jobs. - Hongfeng Wang; Yaping Fu; Min Huang 001; Junwei Wang 001 (Enterp. Inf. Syst., 2016)

A NSGA-II based memetic algorithm for multiobjective parallel flowshop scheduling problem. - Hongfeng Wang; Yaping Fu; Min Huang 001; George Q. Huang; Junwei Wang 001 (Comput. Ind. Eng., 2017)

A hybrid evolutionary algorithm with adaptive multi-population strategy for multi-objective optimization problems. - Hongfeng Wang; Yaping Fu; Min Huang 001; George Q. Huang; Junwei Wang 001 (Soft Comput., 2017)

Stochastic Disassembly Sequence Optimization for Profit and Energy Consumption. - Yaping Fu; Mengchu Zhou; Xiwang Guo 001; Liang Qi 001 (SMC, 2018)

Two-objective stochastic flow-shop scheduling with deteriorating and learning effect in Industry 4.0-based manufacturing system. - Yaping Fu; Jinliang Ding; Hongfeng Wang; Junwei Wang 001 (Appl. Soft Comput., 2018)

Multi-Objective Electric Truck Path Optimization Model with Time Window. - Yuanhao Qi; Yinuo Huang; Yuanyuan Ye; Wanli Wang; Yaping Fu; Kai Wang 052 (CRC, 2019)

Stochastic Dual-objective Disassembly Sequence Planning with Consideration of Learning Effect. - Xiwang Guo 001; MengChu Zhou; Yaping Fu; Liang Qi 001; Dan You (ICNSC, 2019)

Solving Sequence-dependent Disassembly Line Balancing Problem with Improved Cuckoo Search Algorithm. - Ronghe Zhou; Xiwang Guo 001; Yaping Fu; Liang Qi 001 (SMC, 2019)

Artificial-Molecule-Based Chemical Reaction Optimization for Flow Shop Scheduling Problem With Deteriorating and Learning Effects. - Yaping Fu; Mengchu Zhou; Xiwang Guo 001; Liang Qi 001 (IEEE Access, 2019)

Integrated scheduling for a distributed manufacturing system: a stochastic multi-objective model. - Yaping Fu; Hongfeng Wang; Min Huang 001 (Enterp. Inf. Syst., 2019)

Two-agent stochastic flow shop deteriorating scheduling via a hybrid multi-objective evolutionary algorithm. - Yaping Fu; Hongfeng Wang; Guangdong Tian; Zhiwu Li 001; Hesuan Hu (J. Intell. Manuf., 2019)

A decomposition based multiobjective genetic algorithm with adaptive multipopulation strategy for flowshop scheduling problem. - Yaping Fu; Hongfeng Wang; Min Huang 001; Junwei Wang 001 (Nat. Comput., 2019)

Scheduling a Stochastic Remanufacturing Process with Disassembly, Reprocessing and Reassembly. - Yaping Fu; Xiwang Guo 001; Liang Qi 001 (ICNSC, 2020)

Scheduling Dual-Objective Stochastic Hybrid Flow Shop With Deteriorating Jobs via Bi-Population Evolutionary Algorithm. - Yaping Fu; MengChu Zhou; Xiwang Guo 001; Liang Qi 001 (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Stochastic multi-product disassembly sequence planning. - Pei Liang; Yaping Fu; Xiwang Guo 001; Liang Qi 001 (CASE, 2021)

Integrated Distributed Production and Distribution Problem for Minimizing Earliness and Tardiness Penalty. - Yushuang Hou; Yaping Fu; Mengchu Zhou; Xiwang Guo 001; Liang Qi 001 (ICNSC, 2021)

Stochastic optimization using grey wolf optimization with optimal computing budget allocation. - Yaping Fu; Hui Xiao 001; Loo Hay Lee; Min Huang 001 (Appl. Soft Comput., 2021)

Dynamic Large-Scale Server Scheduling for IVF Queuing Network in Cloud Healthcare System. - Yafei Li; Hongfeng Wang; Li Li; Yaping Fu (Complex., 2021)

Multiobjective Modeling and Optimization for Scheduling a Stochastic Hybrid Flow Shop With Maximizing Processing Quality and Minimizing Total Tardiness. - Yaping Fu; Hongfeng Wang; Junwei Wang 001; Xujin Pu (IEEE Syst. J., 2021)

Scheduling a Permutation Flow Shop in the Context of Industry 4.0. - Yaping Fu; Yushuang Hou; Xiwang Guo 001; Liang Qi 001; Hongfeng Wang (ICNSC, 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)

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)

Integrated Scheduling of Picking and Distribution of Fresh Agricultural Products for Community Supported Agriculture Mode. - Xujin Pu; Yuchen Xu 006; Yaping Fu (Symmetry, 2022)

Multiverse Optimization Algorithm for Stochastic Biobjective Disassembly Sequence Planning Subject to Operation Failures. - Yaping Fu; MengChu Zhou; Xiwang Guo 001; Liang Qi 001; Khaled Sedraoui (IEEE Trans. Syst. Man Cybern. Syst., 2022)

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)

Bi-Objective Modeling and Optimization for Stochastic Two-Stage Open Shop Scheduling Problems in the Sharing Economy. - Yaping Fu; Haobin Li; Min Huang 001; Hui Xiao 001 (IEEE Trans. Engineering Management, 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 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)

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)

Efficient multi-objective metaheuristic algorithm for sustainable harvest planning problem. - Amir Mohammad Fathollahi Fard; Guangdong Tian; Hua Ke; Yaping Fu; Kuan Yew Wong (Comput. Oper. Res., 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)

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)

Distributed Flow Shop Scheduling with Dynamic Job Arrival via Enhanced Genetic Algorithm. - Xinyu Lu; Kun Liu; Zhengpei Zhang; Yaping Fu; Song Gao (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)

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)

Optimizing speed of a green truckload pickup and delivery routing problem with outsourcing: Heuristic and exact approaches. - Hui Zhang 093; Min Huang 001; Yaping Fu; Xingwei Wang 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 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)

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)

A method of dense point cloud SLAM based on improved YOLOV8 and fused with ORB-SLAM3 to cope with dynamic environments. - Yanke Li; Huabo Shen; Yaping Fu; Kai Wang (Expert Syst. Appl., 2024)

An improved time-window-partition-based algorithm for the container drayage problem in separation mode with tractor-trailer. - Hui Zhang; Wenjun Li; Pengju Si; Yaping Fu; Yuqin Wang (J. Comput. Des. Eng., 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)

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)

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)

An ensemble of brain storm optimization and Q-learning methods for distributed flexible job shop scheduling problems with distribution operations. - Zhengpei Zhang; Yunqiang Yin; Yaping Fu (Int. J. Gen. Syst., 2024)

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)

Self-learning brainstorm optimization for synchronization of operations and maintenance toward dual resource-constrained flexible job shops. - Qi Yan; Hongfeng Wang; Shengxiang Yang; Yaping Fu (Appl. Soft Comput., 2025)

Multi-objective integrated harvest and distribution scheduling for fresh agricultural products with farm-to-door requirements using Q-learning and problem knowledge-based cooperative evolutionary algorithms. - Xiaomeng Ma; Xujin Pu; Yaping Fu (Comput. Ind. Eng., 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)

Mathematical modeling and optimization of multi-period fourth-party logistics network design problems with customer satisfaction-sensitive demand. - Yuxin Zhang; Min Huang 001; Yaping Fu; Songchen Jiang; Xingwei Wang 001; Shu-Cherng Fang (Expert Syst. Appl., 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)

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)

Integrated harvest and distribution scheduling of fresh agricultural products for multiple farms using a Q-learning-based artificial bee colony algorithm with problem knowledge. - Xiaomeng Ma; Xujin Pu; Yaping Fu; Yuan Wang (Swarm Evol. Comput., 2025)

Multi-Objective Integrated Energy-Efficient Scheduling of Distributed Flexible Job Shop and Vehicle Routing by Knowledge-and-Learning-Based Hyper-Heuristics. - Yaping Fu; Zhengpei Zhang; Min Huang 001; XiWang Guo 001; Liang Qi 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)