Kaizhou Gao

167 papers A 1B 3C 2Misc 4Journal 136Unranked 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Multi-objective Evolutionary Algorithm Based on Bi-population with Uniform Sampling for Neural Architecture Search.
CoRR
Yu Xue, Pengcheng Jiang, Chenchen Zhu, Yong Zhang, Ran Cheng, Kaizhou Gao, Dunwei Gong
2026 J jnl
A learning-driven artificial bee colony algorithm for mobile robot multi-objective path planning.
Appl. Soft Comput.
Fan Ye, Peng Duan, Leilei Meng, Hongyan Sang, Maodi Ru, Kaizhou Gao
2026 J jnl
A twin-reinforced evolutionary algorithm for flexible job shop scheduling problem under time-of-use tariffs.
Comput. Ind. Eng.
Shicun Zhao, Hong Zhou, Feng Chu, Da Wang, Kaizhou Gao
2026 J jnl
CNV_IWOABP: Collaboration of Improved Whale Optimization Algorithm and BP Neural Networks for Copy Number Variations.
Complex Syst. Model. Simul.
Mengxuan Zhu, Junqing Li, Jiake Li, Kaizhou Gao, Ying Xu, Xin Yu, Weiliang Li
2026 J jnl
Co-evolutionary multi-objective optimization enhanced by reinforcement learning decision support in distributed group scheduling.
Expert Syst. Appl.
Zhen Li, Yu-Ting Wang, Yuyan Han, Leilei Meng, Kaizhou Gao, Qingda Chen
2026 J jnl
Distributed Flexible Job Shop Scheduling With Heterogeneous Transportation Resources Constraints via Deep Reinforcement Learning and Graph Neural Network.
IEEE Trans. Syst. Man Cybern. Syst.
Kaikai Zhu, Xiaobin Li, Pei Jiang, Min Cheng, Yuanqing Wu, Kaizhou Gao, Lei Ren
2026 J jnl
Imitation Learning-Assisted Evolutionary Algorithm for Energy-Efficient Flexible Job Shop Scheduling Problem With Automated Guided Vehicles.
IEEE Trans. Evol. Comput.
Weiyao Cheng, Leilei Meng, Biao Zhang, Kaizhou Gao, Hongyan Sang
2026 J jnl
Noise-Averse and Profit-Desired Stochastic Multi-Product Disassembly Sequence Planning Problems Using Multi-Objective Group Teaching Optimization.
Complex Syst. Model. Simul.
Pei Liang, Yaping Fu, Zhenyong Wu, Kaizhou Gao, Vedpal Arya
2026 J jnl
Online reinforcement learning strategies driven artificial bee colony algorithm for bi-objective distributed reentrant flowshops scheduling problem with sequence-sependent setup time.
Expert Syst. Appl.
Ao Yao, Kaizhou Gao, Ponnuthurai Nagaratnam Suganthan, Hongyan Sang
2025 J jnl
A Q-learning-driven genetic algorithm for the distributed hybrid flow shop group scheduling problem with delivery time windows.
Inf. Sci.
Qianhui Ji, Yuyan Han, Yuting Wang, Dunwei Gong, Kaizhou Gao
2025 J jnl
A cooperative agent deep reinforcement learning framework for solving flexible job shop scheduling problem with automated guided vehicles.
Expert Syst. Appl.
Weiyao Cheng, Chaoyong Zhang, Leilei Meng, Kaizhou Gao, Biao Zhang, Hongyan Sang
2025 J jnl
A genetic programming based cooperative evolutionary algorithm for flexible job shop with crane transportation and setup times.
Appl. Soft Comput.
Xiaolong Chen, Junqing Li, Zunxun Wang, Jiake Li, Kaizhou Gao
2025 J jnl
A novel multi-objective hybrid evolutionary algorithm based on variable weight strategy for distributed hybrid flowshop scheduling with batch processing machines and variable sublots.
Appl. Soft Comput.
Chengshuai Li, Yuyan Han, Biao Zhang, Yuting Wang, Junqing Li, Kaizhou Gao
2025 J jnl
A rapid population-based iterated greedy for distributed blocking group flowshop scheduling with delivery time windows under multiple processing time scenarios.
Comput. Ind. Eng.
Yizheng Wang, Yuting Wang, Yuyan Han, Junqing Li, Kaizhou Gao
2025 J jnl
A review on metaheuristics for solving home health care routing and scheduling problems.
Appl. Soft Comput.
Yaping Fu, Jie Dong, Kaizhou Gao, Ponnuthurai Nagaratnam Suganthan, Min Huang, Lihua Zhu
2025 J jnl
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.
Chenyao Zhang, Yuyan Han, Yu-Ting Wang, Junqing Li, Kaizhou Gao
2025 J jnl
An enhanced artificial bee colony algorithm with self-learning optimization mechanism for multi-objective path planning problem.
Eng. Appl. Artif. Intell.
Fan Ye, Peng Duan, Leilei Meng, Hongyan Sang, Kaizhou Gao
2025 J jnl
Deep reinforcement learning for solving efficient and energy-saving flexible job shop scheduling problem with multi-AGV.
Comput. Oper. Res.
Weiyao Cheng, Chaoyong Zhang, Leilei Meng, Biao Zhang, Kaizhou Gao, Hongyan Sang
2025 J jnl
Double-Learning-Strategy-Based Evolutionary Algorithm for Scheduling Multiobjective Distributed Assembly Permutation Flowshops With Setup Time.
IEEE Trans. Syst. Man Cybern. Syst.
Hui Yu, Kaizhou Gao, ZhiWu Li, Peiyong Duan
2025 J jnl
Enhancing distributed blocking flowshop group scheduling: Theoretical insight and application of an iterated greedy algorithm with idle time insertion and rapid evaluation mechanisms.
Expert Syst. Appl.
Yizheng Wang, Yuting Wang, Yuyan Han, Kaizhou Gao, Junqing Li, Yuhang Wang
2025 J jnl
Ensemble Artificial Bee Colony Algorithm and Q-Learning for Multi-Objective Distributed Heterogeneous Flowshop Scheduling Problems with Sequence-Dependent Setup Time.
Complex Syst. Model. Simul.
Fubin Liu, Kaizhou Gao, Adam Slowik, Ponnuthurai Nagaratnam Suganthan
2025 J jnl
Exact and Deep Q-Network Assisted Swarm Intelligence Methods for Scheduling Multiobjective Heterogeneous Unmanned Surface Vehicles.
IEEE Trans. Evol. Comput.
Hui Yu, Kaizhou Gao, Zhenfang Ma, Ling Wang
2025 J jnl
From fluid relaxations to double deep Q-network for Dynamic Multiplicity Flexible Job-Shop Scheduling.
Appl. Soft Comput.
Xiaoyu Yang, Yuyan Han, Yuting Wang, Huan Li, Kaizhou Gao, Yiping Liu
2025 J jnl
GCB-Diff: Global context-aware and boundary-aware feature fusion based on diffusion model for medical image segmentation.
Neurocomputing
Shannan Chen, Qingda Chen, Tongkang Zhang, Kaizhou Gao, Ronghui Ju, Peizhuo Zang, Shouliang Qi
2025 J jnl
Home health care routing and scheduling problems considering patient classification and outsourcing: Modeling and a solution algorithm.
Comput. Oper. Res.
Xiaomeng Ma, Xujin Pu, Yaping Fu, Kaizhou Gao, Yuchen Xu
2025 J jnl
Integrated distributed flexible job shop scheduling and vehicle routing problem via Q-learning-based evolutionary algorithms.
Inf. Sci.
Yaping Fu, Zhengpei Zhang, Kaizhou Gao, Quanke Pan, Humyun Fuad Rahman
2025 J jnl
Local search-based meta-heuristics combined with an improved K-Means++ clustering algorithm for unmanned surface vessel scheduling.
Int. J. Prod. Res.
Weiyu Tang, Kaizhou Gao, Zhenfang Ma, Zhongjie Lin, Hui Yu, Wuze Huang, Naiqi Wu
2025 J jnl
Modelling and scheduling distributed assembly permutation flow-shops using reinforcement learning-based evolutionary algorithms.
Eng. Appl. Artif. Intell.
Bohan Qiu, Kaizhou Gao, Hui Yu, Ali Sadollah
2025 J jnl
Novel CP Models and CP-Assisted Meta-Heuristic Algorithm for Flexible Job Shop Scheduling Benchmark Problem With Multi-AGV.
IEEE Trans. Syst. Man Cybern. Syst.
Leilei Meng, Weiyao Cheng, Chaoyong Zhang, Kaizhou Gao, Biao Zhang, Yaping Ren
2025 J jnl
Offline reinforcement learning strategies guided meta-heuristics for scheduling bi-objective unmanned surface vessel problems with multiple constraints.
Swarm Evol. Comput.
Wuze Huang, Kaizhou Gao, Naiqi Wu, Liang Zhao, Renato Tinós
2025 J jnl
Optimizing Dynamic Flexible Job Shop Scheduling Using an Evolutionary Multitask Optimization Framework and Genetic Programming.
IEEE Trans. Evol. Comput.
Xiaolong Chen, Junqing Li, Zunxun Wang, Qingda Chen, Kaizhou Gao, Quanke Pan
2025 J jnl
Prediction and Feedback Assisted Evolutionary Algorithms for Scheduling Urban Traffic Signals.
IEEE Trans. Intell. Transp. Syst.
Zhongjie Lin, Kaizhou Gao, Peiyong Duan, Naiqi Wu, Ponnuthurai Nagaratnam Suganthan
2025 J jnl
Q-Learning-Driven Accelerated Iterated Greedy Algorithm for Multi-Scenario Group Scheduling in Distributed Blocking Flowshops.
Knowl. Based Syst.
Zhen Li, Yuting Wang, Yuyan Han, Kaizhou Gao, Junqing Li
2025 J jnl
Reinforcement Learning Assisting Artificial Bee Colony Algorithm for Scheduling Distributed Assembly Flowshops With Batch Delivery.
IEEE Trans. Syst. Man Cybern. Syst.
Dachao Li, Kaizhou Gao, Peiyong Duan, Ponnuthurai N. Suganthan, Naiqi Wu
2025 J jnl
Reinforcement Learning-Assisted Memetic Algorithm for Sustainability-Oriented Multiobjective Distributed Flow Shop Group Scheduling.
IEEE Trans. Syst. Man Cybern. Syst.
Yuhang Wang, Yuyan Han, Yuting Wang, Xianpeng Wang, Yiping Liu, Kaizhou Gao
2025 J jnl
Scheduling Bi-Objective Lot-Streaming Hybrid Flow Shops with Consistent Sublots via an Enhanced Artificial Bee Colony Algorithm.
Complex Syst. Model. Simul.
Benxue Lu, Kaizhou Gao, Peiyong Duan, Adam Slowik
2025 J jnl
Scheduling stochastic distributed flexible job shops using an multi-objective evolutionary algorithm with simulation evaluation.
Int. J. Prod. Res.
Yaping Fu, Kaizhou Gao, Ling Wang, Min Huang, Yun-Chia Liang, Hongyu Dong
2025 J jnl
Scheduling two-stage healthcare appointment systems via a knowledge-based biased random-key genetic algorithm.
Swarm Evol. Comput.
Fajun Yang, Chao Li, Feng Wang, Zhi Yang, Kaizhou Gao
2025 J jnl
Solving the permutation flow shop scheduling problem with sequence-dependent setup time via iterative greedy algorithm and imitation learning.
Math. Comput. Simul.
Zhaosheng Du, Jun-Qing Li, Haonan Song, Kaizhou Gao, Ying Xu, Jia-ke Li, Zhixin Zheng
2024 J jnl
A Hybrid Graph-Based Imitation Learning Method for a Realistic Distributed Hybrid Flow Shop With Family Setup Time.
IEEE Trans. Syst. Man Cybern. Syst.
Junqing Li, Jiake Li, Kaizhou Gao, Peiyong Duan
2024 J jnl
A Novel Evolutionary Algorithm for Scheduling Distributed No-Wait Flow Shop Problems.
IEEE Trans. Syst. Man Cybern. Syst.
Yuxia Pan, Kaizhou Gao, ZhiWu Li, Naiqi Wu
2024 J jnl
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.
Qianhui Ji, Yuyan Han, Yuting Wang, Biao Zhang, Kaizhou Gao
2024 J jnl
A Q-Learning Based Hybrid Meta-Heuristic for Integrated Scheduling of Disassembly and Reprocessing Processes Considering Product Structures and Stochasticity.
Complex Syst. Model. Simul.
Fuquan Wang, Yaping Fu, Kaizhou Gao, Yaoxin Wu, Song Gao
2024 J jnl
A Q-learning based artificial bee colony algorithm for solving surgery scheduling problems with setup time.
Swarm Evol. Comput.
Ruixue Zhang, Hui Yu, Kaizhou Gao, Yaping Fu, Joong Hoon Kim
2024 — conf
A Q-learning-Based Meta-heuristic Algorithm for Open Shop Scheduling Considering Group and Transportation Activities.
CASE
Yifeng Wang, Mengyao Ji, Yaping Fu, Hongfeng Wang, Kaizhou Gao
2024 J jnl
A bi-evolutionary cooperative multi-objective algorithm for blocking group flow shop with outsourcing option.
Expert Syst. Appl.
Xinrui Wang, Junqing Li, Yuanyuan Zhang, Kaizhou Gao, Zhixin Zheng, Jiake Li, Ying Xu
2024 J jnl
A cooperative evolutionary algorithm with simulated annealing for integrated scheduling of distributed flexible job shops and distribution.
Swarm Evol. Comput.
Zhengpei Zhang, Yaping Fu, Kaizhou Gao, Hui Zhang, Lei Wang
2024 J jnl
A dual population collaborative genetic algorithm for solving flexible job shop scheduling problem with AGV.
Swarm Evol. Comput.
Xiaoqing Han, Weiyao Cheng, Leilei Meng, Biao Zhang, Kaizhou Gao, Chaoyong Zhang, Peng Duan
2024 J jnl
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.
Zhengpei Zhang, Yaping Fu, Kaizhou Gao, Quanke Pan, Min Huang
2024 J jnl
A novel collaborative iterative greedy algorithm for hybrid flowshop scheduling problem with batch processing machines and variable sublots.
Int. J. Prod. Res.
Chengshuai Li, Yuyan Han, Biao Zhang, Yuting Wang, Junqing Li, Kaizhou Gao
2024 J jnl
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.
Youjun An, Ziye Zhao, Kaizhou Gao, Yuanfa Dong, Xiaohui Chen, Bin Zhou
2024 J jnl
An Improved NSGAII for Integrated Container Scheduling Problems With Two Transshipment Routes.
IEEE Trans. Intell. Transp. Syst.
Lingchong Zhong, Wenfeng Li, Kaizhou Gao, Lijun He, Yong Zhou
2024 J jnl
Artificial intelligence algorithms in unmanned surface vessel task assignment and path planning: A survey.
Swarm Evol. Comput.
Kaizhou Gao, Minglong Gao, MengChu Zhou, Zhenfang Ma
2024 J jnl
Bi-Population Balancing Multi-Objective Algorithm for Fuzzy Flexible Job Shop With Energy and Transportation.
IEEE Trans Autom. Sci. Eng.
Junqing Li, Yuyan Han, Kaizhou Gao, Xiumei Xiao, Peiyong Duan
2024 J jnl
Combining meta-heuristics and Q-learning for scheduling lot-streaming hybrid flow shops with consistent sublots.
Swarm Evol. Comput.
Benxue Lu, Kaizhou Gao, Yaxian Ren, Dachao Li, Adam Slowik
2024 J jnl
Deep reinforcement learning as multiobjective optimization benchmarks: Problem formulation and performance assessment.
Swarm Evol. Comput.
Oladayo S. Ajani, Dzeuban Fenyom Ivan, Daison Darlan, Ponnuthurai N. Suganthan, Kaizhou Gao, Rammohan Mallipeddi
2024 J jnl
Energy-efficient multi-objective distributed assembly permutation flowshop scheduling by Q-learning based meta-heuristics.
Appl. Soft Comput.
Hui Yu, Kaizhou Gao, ZhiWu Li, Ponnuthurai Nagaratnam Suganthan
2024 J jnl
Ensemble artificial bee colony algorithm with Q-learning for scheduling Bi-objective disassembly line.
Appl. Soft Comput.
Yaxian Ren, Kaizhou Gao, Yaping Fu, Dachao Li, Ponnuthurai Nagaratnam Suganthan
2024 — conf
Improved Meta-Heuristics with a Sarsa Algorithm for Scheduling Distributed Permutation Flow Shops.
ICNSC
Jiaqi Qin, Kaizhou Gao, Zhongjie Lin, Hui Yu
2024 J jnl
Integrated scheduling of multi-constraint open shop and vehicle routing: Mathematical model and learning-driven brain storm optimization algorithm.
Appl. Soft Comput.
Yaping Fu, Yifeng Wang, Kaizhou Gao, Ponnuthurai Nagaratnam Suganthan, Min Huang
2024 J jnl
Integrating scheduling and routing decisions into home health care operation with skill requirements and uncertainties.
J. Simulation
Yaping Fu, Feng Ding, Zongyu Mu, Cuihua Sun, Kaizhou Gao
2024 J jnl
MIP modeling of energy-conscious FJSP and its extended problems:From simplicity to complexity.
Expert Syst. Appl.
Leilei Meng, Peng Duan, Kaizhou Gao, Biao Zhang, Wen-Qiang Zou, Yuyan Han, Chaoyong Zhang
2024 J jnl
Multi-objective migrating birds optimization for solving stochastic home health care routing and scheduling problems considering caregiver working time constraints.
Swarm Evol. Comput.
Yaping Fu, Xiaomeng Ma, Kaizhou Gao, Hongfeng Wang, Ali Sadollah, L. Y. Chen
2024 J jnl
Multi-product disassembly line balancing optimization method for high disassembly profit and low energy consumption with noise pollution constraints.
Eng. Appl. Artif. Intell.
Pei Liang, Yaping Fu, Kaizhou Gao
2024 J jnl
Multiobjective Scheduling of Energy-Efficient Stochastic Hybrid Open Shop With Brain Storm Optimization and Simulation Evaluation.
IEEE Trans. Syst. Man Cybern. Syst.
Yaping Fu, MengChu Zhou, Xiwang Guo, Liang Qi, Kaizhou Gao, Aiiad Albeshri
2024 J jnl
Open shop scheduling with group and transportation operations by learning-driven hyper-heuristic algorithms.
Swarm Evol. Comput.
Yifeng Wang, Yaping Fu, Kaizhou Gao, Humyun Fuad Rahman, Min Huang
2024 J jnl
Problem-Specific Knowledge Based Multi-Objective Meta-Heuristics Combined Q-Learning for Scheduling Urban Traffic Lights With Carbon Emissions.
IEEE Trans. Intell. Transp. Syst.
Zhongjie Lin, Kaizhou Gao, Naiqi Wu, Ponnuthurai Nagaratnam Suganthan
2024 J jnl
Q-Learning Based Meta-Heuristics for Scheduling Bi-Objective Surgery Problems with Setup Time.
Complex Syst. Model. Simul.
Ruixue Zhang, Hui Yu, Adam Slowik, Kaizhou Gao
2024 J jnl
Q-Learning-Assisted Meta-Heuristics for Scheduling Distributed Hybrid Flow Shop Problems.
Comput. Mater. Continua
Qianyao Zhu, Kaizhou Gao, Wuze Huang, Zhenfang Ma, Adam Slowik
2024 J jnl
Review on ensemble meta-heuristics and reinforcement learning for manufacturing scheduling problems.
Comput. Electr. Eng.
Yaping Fu, Yifeng Wang, Kaizhou Gao, Min Huang
2024 J jnl
Scheduling Multiobjective Dynamic Surgery Problems via Q-Learning-Based Meta-Heuristics.
IEEE Trans. Syst. Man Cybern. Syst.
Hui Yu, Kaizhou Gao, Naiqi Wu, MengChu Zhou, Ponnuthurai N. Suganthan, Shouguang Wang
2024 J jnl
Solving the multi-objective path planning problem for mobile robot using an improved NSGA-II algorithm.
Swarm Evol. Comput.
Peng Duan, Zhenao Yu, Kaizhou Gao, Leilei Meng, Yuyan Han, Fan Ye
2024 J jnl
Theoretical analysis and implementation of mandatory operations-based accelerated search in graph space for hybrid flow shop scheduling.
Expert Syst. Appl.
Yuting Wang, Yuyan Han, Huan Li, Junqing Li, Kaizhou Gao, Yiping Liu
2024 J jnl
Two-level balancing multi-objective algorithm for trapezoidal type-2 fuzzy flexible job shop problems.
Inf. Sci.
Jun-qing Li, Jiake Li, Kaizhou Gao, Peiyong Duan
2023 J jnl
A Machine Learning Approach for Energy-Efficient Intelligent Transportation Scheduling Problem in a Real-World Dynamic Circumstances.
IEEE Trans. Intell. Transp. Syst.
Jianhui Mou, Kaizhou Gao, Peiyong Duan, Junqing Li, Akhil Garg, Rohit Sharma
2023 J jnl
A Multi-Objective Scheduling and Routing Problem for Home Health Care Services via Brain Storm Optimization.
Complex Syst. Model. Simul.
Xiaomeng Ma, Yaping Fu, Kaizhou Gao, Lihua Zhu, Ali Sadollah
2023 J jnl
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.
Youjun An, Xiaohui Chen, Kaizhou Gao, Lin Zhang, Yinghe Li, Ziye Zhao
2023 J jnl
A knowledge-based multi-objective evolutionary algorithm for solving home health care routing and scheduling problems with multiple centers.
Appl. Soft Comput.
Xiaomeng Ma, Yaping Fu, Kaizhou Gao, Hui Zhang, Jianhui Mou
2023 J jnl
A novel Q-learning based variable neighborhood iterative search algorithm for solving disassembly line scheduling problems.
Swarm Evol. Comput.
Yaxian Ren, Kaizhou Gao, Yaping Fu, Hongyan Sang, Dachao Li, Zile Luo
2023 J jnl
A problem-specific knowledge based artificial bee colony algorithm for scheduling distributed permutation flowshop problems with peak power consumption.
Eng. Appl. Artif. Intell.
Yuanzhen Li, Kaizhou Gao, Leilei Meng, Ponnuthurai Nagaratnam Suganthan
2023 J jnl
A property-based hybrid genetic algorithm and tabu search for solving order acceptance and scheduling problem with trapezoidal penalty membership function.
Expert Syst. Appl.
Ziye Zhao, Xiaohui Chen, Youjun An, Yinghe Li, Kaizhou Gao
2023 J jnl
An Improved Artificial Bee Colony Algorithm With Q-Learning for Solving Permutation Flow-Shop Scheduling Problems.
IEEE Trans. Syst. Man Cybern. Syst.
Hanxiao Li, Kaizhou Gao, Pei-Yong Duan, Jun-qing Li, Le Zhang
2023 J jnl
An effective two-stage iterated greedy algorithm for distributed flowshop group scheduling problem with setup time.
Expert Syst. Appl.
Yuhang Wang, Yuyan Han, Yuting Wang, Junqing Li, Kaizhou Gao, Yiping Liu
2023 J jnl
An embedded vertical-federated feature selection algorithm based on particle swarm optimisation.
CAAI Trans. Intell. Technol.
Yong Zhang, Ying Hu, Xiaozhi Gao, Dunwei Gong, Yinan Guo, Kaizhou Gao, Wanqiu Zhang
2023 J jnl
Biologically Inspired Machine Learning-Based Trajectory Analysis in Intelligent Dispatching Energy Storage System.
IEEE Trans. Intell. Transp. Syst.
Jianhui Mou, Peiyong Duan, Liang Gao, Quanke Pan, Kaizhou Gao, Amit Kumar Singh
2023 — conf
Combining Meta-heuristics and K-Means++ for Solving Unmanned Surface Vessels Task Assignment and Path Planning Problems.
ICNSC
Weiyu Tang, Kaizhou Gao, Minglong Gao, Zhenfang Ma
2023 J jnl
Dynamic AGV Scheduling Model With Special Cases in Matrix Production Workshop.
IEEE Trans. Ind. Informatics
Zhong-Kai Li, Hongyan Sang, Quanke Pan, Kaizhou Gao, Yuyan Han, Junqing Li
2023 J jnl
Ensemble meta-heuristics and Q-learning for solving unmanned surface vessels scheduling problems.
Swarm Evol. Comput.
Minglong Gao, Kaizhou Gao, Zhen-Fang Ma, Weiyu Tang
2023 J jnl
Improved Meta-Heuristics for Solving Distributed Lot-Streaming Permutation Flow Shop Scheduling Problems.
IEEE Trans Autom. Sci. Eng.
Yuxia Pan, Kaizhou Gao, ZhiWu Li, Naiqi Wu
2023 J jnl
Integrated optimization of real-time order acceptance and flexible job-shop rescheduling with multi-level imperfect maintenance constraints.
Swarm Evol. Comput.
Youjun An, Xiaohui Chen, Kaizhou Gao, Lin Zhang, Yinghe Li, Ziye Zhao
2023 J jnl
Integrated scheduling problems of open shop and vehicle routing using an ensemble of group teaching optimization and simulated annealing.
Swarm Evol. Comput.
Jiaming Su, Yaping Fu, Kaizhou Gao, Hongyu Dong, Jianhui Mou
2023 J jnl
Intelligent Optimization Under Multiple Factories: Hybrid Flow Shop Scheduling Problem with Blocking Constraints Using an Advanced Iterated Greedy Algorithm.
Complex Syst. Model. Simul.
Yong Wang, Yuting Wang, Yuyan Han, Junqing Li, Kaizhou Gao, Yusuke Nojima
2023 J jnl
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.
Yuhang Wang, Yuyan Han, Yuting Wang, Mehmet Fatih Tasgetiren, Jun-qing Li, Kaizhou Gao
2023 J jnl
MILP modeling and optimization of multi-objective flexible job shop scheduling problem with controllable processing times.
Swarm Evol. Comput.
Leilei Meng, Chaoyong Zhang, Biao Zhang, Kaizhou Gao, Yaping Ren, Hongyan Sang
2023 J jnl
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.
Yushuang Hou, Hongfeng Wang, Yaping Fu, Kaizhou Gao, Hui Zhang
2023 J jnl
Multiobjective Flexible Job-Shop Rescheduling With New Job Insertion and Machine Preventive Maintenance.
IEEE Trans. Cybern.
Youjun An, Xiaohui Chen, Kaizhou Gao, Yinghe Li, Lin Zhang
2023 J jnl
Problem feature based meta-heuristics with Q-learning for solving urban traffic light scheduling problems.
Appl. Soft Comput.
Liang Wang, Kaizhou Gao, Zhongjie Lin, Wuze Huang, Ponnuthurai Nagaratnam Suganthan
2023 J jnl
Scheduling Eight-Phase Urban Traffic Light Problems via Ensemble Meta-Heuristics and Q-Learning Based Local Search.
IEEE Trans. Intell. Transp. Syst.
Zhongjie Lin, Kaizhou Gao, Naiqi Wu, Ponnuthurai Nagaratnam Suganthan
2023 J jnl
Solving Biobjective Distributed Flow-Shop Scheduling Problems With Lot-Streaming Using an Improved Jaya Algorithm.
IEEE Trans. Cybern.
Yuxia Pan, Kaizhou Gao, Zhi-Wu Li, Naiqi Wu
2022 J jnl
A Review on Swarm Intelligence and Evolutionary Algorithms for Solving the Traffic Signal Control Problem.
IEEE Trans. Intell. Transp. Syst.
Palwasha W. Shaikh, Mohammed El-Abd, Mounib Khanafer, Kaizhou Gao
2022 — conf
An Improved Artificial Bee Colony Algorithm for Assembly Line Balancing Problem of Electric Vehicle.
ASCC
Zifan Wang, Xinwei Wu, Kaizhou Gao, Hua Jiang
2022 J jnl
An enhanced group teaching optimization algorithm for multi-product disassembly line balancing problems.
Complex Intell. Syst.
Pei Liang, Yaping Fu, Kaizhou Gao, Hao Sun
2022 J jnl
Analytical target cascading for multi-level supply chain decisions in cloud perspective.
Ind. Manag. Data Syst.
Yun Huang, Kaizhou Gao, Kai Wang, Haili Lv, Fan Gao
2022 J jnl
Integration routing and scheduling for multiple home health care centers using a multi-objective cooperation evolutionary algorithm with stochastic simulation.
Swarm Evol. Comput.
Xiaomeng Ma, Yaping Fu, Kaizhou Gao, Ali Sadollah, Kai Wang
2022 J jnl
Modelling and optimization of integrated distributed flow shop scheduling and distribution problems with time windows.
Expert Syst. Appl.
Yushuang Hou, Yaping Fu, Kaizhou Gao, Hui Zhang, Ali Sadollah
2022 J jnl
Modelling and scheduling integration of distributed production and distribution problems via black widow optimization.
Swarm Evol. Comput.
Yaping Fu, Yushuang Hou, Zhenghua Chen, Xujin Pu, Kaizhou Gao, Ali Sadollah
2022 J jnl
Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times.
Swarm Evol. Comput.
Leilei Meng, Kaizhou Gao, Yaping Ren, Biao Zhang, Hongyan Sang, Chaoyong Zhang
2022 J jnl
Optimized Backstepping Tracking Control Using Reinforcement Learning for Quadrotor Unmanned Aerial Vehicle System.
IEEE Trans. Syst. Man Cybern. Syst.
Guoxing Wen, Wei Hao, Weiwei Feng, Kaizhou Gao
2022 J jnl
Personalized Route Planning System Based on Driver Preference.
Sensors
Ren Wang, MengChu Zhou, Kaizhou Gao, Ahmed Alabdulwahab, Muhyaddin J. Rawa
2022 J jnl
Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction.
IEEE CAA J. Autom. Sinica
Ruibing Jin, Min Wu, Keyu Wu, Kaizhou Gao, Zhenghua Chen, Xiaoli Li
2022 — conf
Problem Feature-Based Meta-Heuristics with Reinforcement Learning for Solving Urban Traffic Light Scheduling Problems.
ITSC
Liang Wang, Kaizhou Gao, Zhongjie Lin, Wuze Huang
2021 J jnl
A Novel Ensemble Deep Learning Approach for Sleep-Wake Detection Using Heart Rate Variability and Acceleration.
IEEE Trans. Emerg. Top. Comput. Intell.
Zhenghua Chen, Min Wu, Kaizhou Gao, Jiyan Wu, Jie Ding, Zeng Zeng, Xiaoli Li
2021 J jnl
An evacuation simulation method based on an improved artificial bee colony algorithm and a social force model.
Appl. Intell.
Yuan Zhao, Hong Liu, Kaizhou Gao
2021 J jnl
Improving the Performance of Transportation Networks: A Semi-Centralized Pricing Approach.
IEEE Trans. Intell. Transp. Syst.
Zhiguang Cao, Hongliang Guo, Wen Song, Kaizhou Gao, Liujiang Kang, Xuexi Zhang, Qilun Wu
2021 J jnl
MIMOA: A membrane-inspired multi-objective algorithm for green vehicle routing problem with stochastic demands.
Swarm Evol. Comput.
Yunyun Niu, Yongpeng Zhang, Zhiguang Cao, Kaizhou Gao, Jianhua Xiao, Wen Song, Fangwei Zhang
2021 J jnl
Urban Traffic Light Control Considering Capacity Difference Between Public Bus and Private Vehicles.
IEEE Access
Zicheng Liu, Naiqi Wu, Kaizhou Gao
2020 J jnl
A genetic programming hyper-heuristic approach for the multi-skill resource constrained project scheduling problem.
Expert Syst. Appl.
Jian Lin, Lei Zhu, Kaizhou Gao
2020 J jnl
Discrete evolutionary multi-objective optimization for energy-efficient blocking flow shop scheduling with setup time.
Appl. Soft Comput.
Yuyan Han, Junqing Li, Hongyan Sang, Yiping Liu, Kaizhou Gao, Quanke Pan
2020 J jnl
Efficient Approach to Scheduling of Transient Processes for Time-Constrained Single-Arm Cluster Tools With Parallel Chambers.
IEEE Trans. Syst. Man Cybern. Syst.
Fajun Yang, Yan Qiao, Kaizhou Gao, Naiqi Wu, Yuting Zhu, Ian Ware Simon, Rong Su
2020 J jnl
Improved Jaya Algorithm for Flexible Job Shop Rescheduling Problem.
IEEE Access
Kaizhou Gao, Fajun Yang, Junqing Li, Hongyan Sang, Jianping Luo
2020 J jnl
Improved Migrating Birds Optimization Algorithm to Solve Hybrid Flowshop Scheduling Problem With Lot-Streaming.
IEEE Access
Ping Wang, Hongyan Sang, Qiuyun Tao, Hengwei Guo, Junqing Li, Kaizhou Gao, Yuyan Han
2020 J jnl
Using Reinforcement Learning to Minimize the Probability of Delay Occurrence in Transportation.
IEEE Trans. Veh. Technol.
Zhiguang Cao, Hongliang Guo, Wen Song, Kaizhou Gao, Zhenghua Chen, Le Zhang, Xuexi Zhang
2020 J jnl
WiFi-Based Indoor Robot Positioning Using Deep Fuzzy Forests.
IEEE Internet Things J.
Le Zhang, Zhenghua Chen, Wei Cui, Bing Li, Cen Chen, Zhiguang Cao, Kaizhou Gao
2019 J jnl
A Multi-Species Artificial Bee Colony Algorithm and Its Application for Crowd Simulation.
IEEE Access
Shouna Wang, Hong Liu, Kaizhou Gao, Jianxin Zhang
2019 B conf
A novel particle swarm optimizer for many-objective optimization.
CEC
Jianping Luo, Xiongwen Huang, Xia Li, Kaizhou Gao
2019 J jnl
A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems.
IEEE CAA J. Autom. Sinica
Kaizhou Gao, Zhiguang Cao, Le Zhang, Zhenghua Chen, Yuyan Han, Quanke Pan
2019 J jnl
Flexible Job-Shop Rescheduling for New Job Insertion by Using Discrete Jaya Algorithm.
IEEE Trans. Cybern.
Kaizhou Gao, Fajun Yang, MengChu Zhou, Quan-Ke Pan, Ponnuthurai Nagaratnam Suganthan
2019 J jnl
Improved Multi-Agent Reinforcement Learning for Path Planning-Based Crowd Simulation.
IEEE Access
Qingqing Wang, Hong Liu, Kaizhou Gao, Le Zhang
2019 B conf
Jaya Algorithm for Rescheduling Flexible Job Shop Problem with Machine Recovery.
SMC
Kaizhou Gao, MengChu Zhou, Yuxia Pan
2019 J jnl
Jointly optimizing microgrid configuration and energy consumption scheduling of smart homes.
Swarm Evol. Comput.
Yun Huang, Kai Wang, Kaizhou Gao, Ting Qu, Hong Liu
2019 J jnl
Meta-Heuristics for Bi-Objective Urban Traffic Light Scheduling Problems.
IEEE Trans. Intell. Transp. Syst.
Kaizhou Gao, Yi Zhang, Yicheng Zhang, Rong Su, Ponnuthurai Nagaratnam Suganthan
2019 J jnl
Solving Traffic Signal Scheduling Problems in Heterogeneous Traffic Network by Using Meta-Heuristics.
IEEE Trans. Intell. Transp. Syst.
Kaizhou Gao, Yicheng Zhang, Rong Su, Fajun Yang, Ponnuthurai Nagaratnam Suganthan, MengChu Zhou
2019 J jnl
Solving multi-area environmental/ economic dispatch by Pareto-based chemical-reaction optimization algorithm.
IEEE CAA J. Autom. Sinica
Junqing Li, Hongyan Sang, Quanke Pan, Peiyong Duan, Kaizhou Gao
2019 J jnl
Traffic Light Scheduling for Pedestrian-Vehicle Mixed-Flow Networks.
IEEE Trans. Intell. Transp. Syst.
Yi Zhang, Kaizhou Gao, Yicheng Zhang, Rong Su
2018 J jnl
A decomposition-based multi-objective evolutionary algorithm with quality indicator.
Swarm Evol. Comput.
Jianping Luo, Yun Yang, Xia Li, Qiqi Liu, Min-Rong Chen, Kaizhou Gao
2018 J jnl
A new hybrid memetic multi-objective optimization algorithm for multi-objective optimization.
Inf. Sci.
Jianping Luo, Yun Yang, Qiqi Liu, Xia Li, Min-Rong Chen, Kaizhou Gao
2018 J jnl
Decomposition methods for manufacturing system scheduling: a survey.
IEEE CAA J. Autom. Sinica
Fajun Yang, Kaizhou Gao, Ian Ware Simon, Yuting Zhu, Rong Su
2017 — conf
A meta-heuristic with ensemble of local search operators for urban traffic light optimization.
SSCI
Kaizhou Gao, Yicheng Zhang, Yi Zhang, Rong Su
2017 — conf
Bi-objective Water Cycle Algorithm for Solving Remanufacturing Rescheduling Problem.
SEAL
Kaizhou Gao, Pei-Yong Duan, Rong Su, Junqing Li
2017 — conf
Differential Evolution Based Hyper-heuristic for the Flexible Job-Shop Scheduling Problem with Fuzzy Processing Time.
SEAL
Jian Lin, Dike Luo, Xiaodong Li, Kaizhou Gao, Yanan Liu
2017 J jnl
Jaya, harmony search and water cycle algorithms for solving large-scale real-life urban traffic light scheduling problem.
Swarm Evol. Comput.
Kaizhou Gao, Yicheng Zhang, Ali Sadollah, Antonios F. Lentzakis, Rong Su
2017 J jnl
Metaheuristic optimisation methods for approximate solving of singular boundary value problems.
J. Exp. Theor. Artif. Intell.
Ali Sadollah, Neha Yadav, Kaizhou Gao, Rong Su
2017 — conf
Traffic light scheduling for pedestrians and vehicles.
CCTA
Yi Zhang, Rong Su, Kaizhou Gao, Yicheng Zhang
2016 J jnl
A Variable Block Insertion Heuristic for the Blocking Flowshop Scheduling Problem with Total Flowtime Criterion.
Algorithms
Mehmet Fatih Tasgetiren, Quan-Ke Pan, Damla Kizilay, Kaizhou Gao
2016 C conf
Discrete Jaya algorithm for flexible job shop scheduling problem with new job insertion.
ICARCV
Kaizhou Gao, Ali Sadollah, Yicheng Zhang, Rong Su, Junqing Li
2016 J jnl
Optimizing urban traffic light scheduling problem using harmony search with ensemble of local search.
Appl. Soft Comput.
Kaizhou Gao, Yicheng Zhang, Ali Sadollah, Rong Su
2015 — conf
Urban road traffic light real-time scheduling.
CDC
Yicheng Zhang, Rong Su, Kaizhou Gao
2013 — conf
A Novel Improved Discrete ABC Algorithm for Manpower Scheduling Problem in Remanufacturing.
SEMCCO (1)
Debabrota Basu, Shantanab Debchoudhury, Kaizhou Gao, Ponnuthurai Nagaratnam Suganthan
2013 Misc conf
An improved gravitational search algorithm based on neighbor search.
ICNC
C. Wang, Kaizhou Gao, J. Guo
2013 A conf
Hybrid discrete harmony search algorithm for scheduling re-processing problem in remanufacturing.
GECCO
Kaizhou Gao, Ponnuthurai Nagaratnam Suganthan, Tay Jin Chua, Tian Xiang Cai, Chin-Soon Chong
2013 — conf
Load Information Based Priority Dependant Heuristic for Manpower Scheduling Problem in Remanufacturing.
SEMCCO (1)
Shantanab Debchoudhury, Debabrota Basu, Kaizhou Gao, Ponnuthurai Nagaratnam Suganthan
2012 J jnl
A Hybrid Harmony Search Algorithm for the no-Wait Flow-shop Scheduling Problems.
Asia Pac. J. Oper. Res.
Kaizhou Gao, Quan-Ke Pan, Junqing Li, Yu-Ting Wang, Jing Liang
2012 B conf
A composite heuristic for the no-wait flow shop scheduling.
IEEE Congress on Evolutionary Computation
Kaizhou Gao, Ponnuthurai N. Suganthan, Zhenqiang Bao
2012 — conf
Discrete Harmony Search Algorithm for Dynamic FJSSP in Remanufacturing Engineering.
SEMCCO
Kaizhou Gao, Ponnuthurai Nagaratnam Suganthan, Tay Jin Chua
2012 C conf
Pareto-based discrete harmony search algorithm for flexible job shop scheduling.
ISDA
Kaizhou Gao, Ponnuthurai Nagaratnam Suganthan, Tay Jin Chua
2011 — conf
A Modified Inver-over Operator for the Traveling Salesman Problem.
ICIC (2)
Yuting Wang, Jian Sun, Junqing Li, Kaizhou Gao
2011 — conf
Discrete Harmony Search Algorithm for the No Wait Flow Shop Scheduling Problem with Makespan Criterion.
ICIC (1)
Kaizhou Gao, Shengxian Xie, Hua Jiang, Junqing Li
2011 — conf
Flexible Job Shop Scheduling Problem by Chemical-Reaction Optimization Algorithm.
ICIC (1)
Junqing Li, Yuanzhen Li, Huaqing Yang, Kaizhou Gao, Yuting Wang, Tao Sun
2011 Misc conf
Hybrid algorithm based on Chemical Reaction Optimization and Lin-Kernighan local search for the Traveling Salesman Problem.
ICNC
Jian Sun, Yuting Wang, Junqing Li, Kaizhou Gao
2011 J jnl
Memetic Algorithm based on Improved Inver-over operator and Lin-Kernighan local search for the Euclidean traveling salesman problem.
Comput. Math. Appl.
Yu-Ting Wang, Junqing Li, Kaizhou Gao, Quan-Ke Pan
2010 — conf
A Novel Time Decaying Model for P2P Networks.
MVHI
Junqing Li, Shengxian Xie, Quan-Ke Pan, Kaizhou Gao, Baoxian Jia, Yuting Wang
2010 — conf
An Effective Trust-Based Search Approach in Peer-to-Peer Network.
MVHI
Junqing Li, Shengxian Xie, Quan-Ke Pan, Kaizhou Gao, Baoxian Jia, Yuting Wang
2010 Misc conf
Scheduling the blocking flow shop problem using a harmony search algorithm.
ICNC
Jun-Hua Duan, Quan-Ke Pan, Junqing Li, Kaizhou Gao, Zhenqiang Bao
2010 Misc conf
Scheduling the lot-streaming flow shop problem using a shuffled frog-leaping algorithm.
ICNC
Jun-Hua Duan, Quan-Ke Pan, Kaizhou Gao, Junqing Li, Zhenqiang Bao
2009 — conf
Conceptual Design Knowledge Retrieval, Reuse and Innovation Based on Case and Constraint.
WKDD
Kaizhou Gao, Quan-Ke Pan, Qiang Qiang Sun
2008 — conf
Evaluating organization external knowledge acquisition.
e-Forensics
Zhenqiang Bao, Kaizhou Gao, Xiangqing Li, Lei Guo, Hui Zhong
2007 — conf
Study on Conceptual Design Knowledge Support Based on Case and Integrated Rule.
SKG
Kaizhou Gao, Zhenqiang Bao, Jianxin Zhou