Kai-Zhou Gao
Orcid: 0000-0002-9252-6928
According to our database1,
Kai-Zhou Gao
authored at least 115 papers
between 2007 and 2024.
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Bibliography
2024
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., February, 2024
2023
A Machine Learning Approach for Energy-Efficient Intelligent Transportation Scheduling Problem in a Real-World Dynamic Circumstances.
IEEE Trans. Intell. Transp. Syst., December, 2023
Scheduling Eight-Phase Urban Traffic Light Problems via Ensemble Meta-Heuristics and Q-Learning Based Local Search.
IEEE Trans. Intell. Transp. Syst., December, 2023
Integrated scheduling problems of open shop and vehicle routing using an ensemble of group teaching optimization and simulated annealing.
Swarm Evol. Comput., December, 2023
An effective two-stage iterated greedy algorithm for distributed flowshop group scheduling problem with setup time.
Expert Syst. Appl., December, 2023
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., December, 2023
Problem feature based meta-heuristics with Q-learning for solving urban traffic light scheduling problems.
Appl. Soft Comput., November, 2023
MILP modeling and optimization of multi-objective flexible job shop scheduling problem with controllable processing times.
Swarm Evol. Comput., October, 2023
Ensemble meta-heuristics and Q-learning for solving unmanned surface vessels scheduling problems.
Swarm Evol. Comput., October, 2023
An embedded vertical-federated feature selection algorithm based on particle swarm optimisation.
CAAI Trans. Intell. Technol., September, 2023
A knowledge-based multi-objective evolutionary algorithm for solving home health care routing and scheduling problems with multiple centers.
Appl. Soft Comput., September, 2023
Improved meta-heuristics with Q-learning for solving distributed assembly permutation flowshop scheduling problems.
Swarm Evol. Comput., July, 2023
A novel Q-learning based variable neighborhood iterative search algorithm for solving disassembly line scheduling problems.
Swarm Evol. Comput., July, 2023
IEEE Trans. Ind. Informatics, June, 2023
Solving Biobjective Distributed Flow-Shop Scheduling Problems With Lot-Streaming Using an Improved Jaya Algorithm.
IEEE Trans. Cybern., June, 2023
An Improved Artificial Bee Colony Algorithm With Q-Learning for Solving Permutation Flow-Shop Scheduling Problems.
IEEE Trans. Syst. Man Cybern. Syst., May, 2023
Multiobjective Flexible Job-Shop Rescheduling With New Job Insertion and Machine Preventive Maintenance.
IEEE Trans. Cybern., May, 2023
A property-based hybrid genetic algorithm and tabu search for solving order acceptance and scheduling problem with trapezoidal penalty membership function.
Expert Syst. Appl., May, 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.
Comput. Ind. Eng., May, 2023
Biologically Inspired Machine Learning-Based Trajectory Analysis in Intelligent Dispatching Energy Storage System.
IEEE Trans. Intell. Transp. Syst., April, 2023
Invasive weed optimization for multi-AGVs dispatching problem in a matrix manufacturing workshop.
Swarm Evol. Comput., March, 2023
Integrated optimization of real-time order acceptance and flexible job-shop rescheduling with multi-level imperfect maintenance constraints.
Swarm Evol. Comput., March, 2023
Improved Meta-Heuristics for Solving Distributed Lot-Streaming Permutation Flow Shop Scheduling Problems.
IEEE Trans Autom. Sci. Eng., 2023
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., 2023
A cooperative population-based iterated greedy algorithm for distributed permutation flowshop group scheduling problem.
Eng. Appl. Artif. Intell., 2023
Combining Meta-heuristics and K-Means++ for Solving Unmanned Surface Vessels Task Assignment and Path Planning Problems.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2023
2022
Optimized Backstepping Tracking Control Using Reinforcement Learning for Quadrotor Unmanned Aerial Vehicle System.
IEEE Trans. Syst. Man Cybern. Syst., 2022
A Review on Swarm Intelligence and Evolutionary Algorithms for Solving the Traffic Signal Control Problem.
IEEE Trans. Intell. Transp. Syst., 2022
A Hybrid Iterated Greedy Algorithm for a Crane Transportation Flexible Job Shop Problem.
IEEE Trans Autom. Sci. Eng., 2022
Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times.
Swarm Evol. Comput., 2022
Integration routing and scheduling for multiple home health care centers using a multi-objective cooperation evolutionary algorithm with stochastic simulation.
Swarm Evol. Comput., 2022
Modelling and scheduling integration of distributed production and distribution problems via black widow optimization.
Swarm Evol. Comput., 2022
Analytical target cascading for multi-level supply chain decisions in cloud perspective.
Ind. Manag. Data Syst., 2022
Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction.
IEEE CAA J. Autom. Sinica, 2022
Modelling and optimization of integrated distributed flow shop scheduling and distribution problems with time windows.
Expert Syst. Appl., 2022
The distributed flowshop scheduling problem with delivery dates and cumulative payoffs.
Comput. Ind. Eng., 2022
Problem Feature-Based Meta-Heuristics with Reinforcement Learning for Solving Urban Traffic Light Scheduling Problems.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
An Improved Artificial Bee Colony Algorithm for Assembly Line Balancing Problem of Electric Vehicle.
Proceedings of the 13th Asian Control Conference, 2022
2021
Improving the Performance of Transportation Networks: A Semi-Centralized Pricing Approach.
IEEE Trans. Intell. Transp. Syst., 2021
A Novel Ensemble Deep Learning Approach for Sleep-Wake Detection Using Heart Rate Variability and Acceleration.
IEEE Trans. Emerg. Top. Comput. Intell., 2021
MIMOA: A membrane-inspired multi-objective algorithm for green vehicle routing problem with stochastic demands.
Swarm Evol. Comput., 2021
Appl. Soft Comput., 2021
An evacuation simulation method based on an improved artificial bee colony algorithm and a social force model.
Appl. Intell., 2021
Urban Traffic Light Control Considering Capacity Difference Between Public Bus and Private Vehicles.
IEEE Access, 2021
2020
Using Reinforcement Learning to Minimize the Probability of Delay Occurrence in Transportation.
IEEE Trans. Veh. Technol., 2020
Efficient Approach to Scheduling of Transient Processes for Time-Constrained Single-Arm Cluster Tools With Parallel Chambers.
IEEE Trans. Syst. Man Cybern. Syst., 2020
A survey on meta-heuristics for solving disassembly line balancing, planning and scheduling problems in remanufacturing.
Swarm Evol. Comput., 2020
IEEE Internet Things J., 2020
A genetic programming hyper-heuristic approach for the multi-skill resource constrained project scheduling problem.
Expert Syst. Appl., 2020
Discrete evolutionary multi-objective optimization for energy-efficient blocking flow shop scheduling with setup time.
Appl. Soft Comput., 2020
Improved Migrating Birds Optimization Algorithm to Solve Hybrid Flowshop Scheduling Problem With Lot-Streaming.
IEEE Access, 2020
IEEE Access, 2020
2019
IEEE Trans. Intell. Transp. Syst., 2019
IEEE Trans. Intell. Transp. Syst., 2019
Solving Traffic Signal Scheduling Problems in Heterogeneous Traffic Network by Using Meta-Heuristics.
IEEE Trans. Intell. Transp. Syst., 2019
Flexible Job-Shop Rescheduling for New Job Insertion by Using Discrete Jaya Algorithm.
IEEE Trans. Cybern., 2019
Effective invasive weed optimization algorithms for distributed assembly permutation flowshop problem with total flowtime criterion.
Swarm Evol. Comput., 2019
Jointly optimizing microgrid configuration and energy consumption scheduling of smart homes.
Swarm Evol. Comput., 2019
Solving multi-area environmental/ economic dispatch by Pareto-based chemical-reaction optimization algorithm.
IEEE CAA J. Autom. Sinica, 2019
A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems.
IEEE CAA J. Autom. Sinica, 2019
Improved Multi-Agent Reinforcement Learning for Path Planning-Based Crowd Simulation.
IEEE Access, 2019
A Multi-Species Artificial Bee Colony Algorithm and Its Application for Crowd Simulation.
IEEE Access, 2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Swarm Evol. Comput., 2018
A new hybrid memetic multi-objective optimization algorithm for multi-objective optimization.
Inf. Sci., 2018
IEEE CAA J. Autom. Sinica, 2018
2017
Jaya, harmony search and water cycle algorithms for solving large-scale real-life urban traffic light scheduling problem.
Swarm Evol. Comput., 2017
Soft Comput., 2017
Metaheuristic optimisation methods for approximate solving of singular boundary value problems.
J. Exp. Theor. Artif. Intell., 2017
Effective metaheuristics for scheduling a hybrid flowshop with sequence-dependent setup times.
Appl. Math. Comput., 2017
A meta-heuristic with ensemble of local search operators for urban traffic light optimization.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Differential Evolution Based Hyper-heuristic for the Flexible Job-Shop Scheduling Problem with Fuzzy Processing Time.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
Improved artificial bee colony algorithm for solving urban traffic light scheduling problem.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Proceedings of the IEEE Conference on Control Technology and Applications, 2017
2016
Artificial bee colony algorithm for scheduling and rescheduling fuzzy flexible job shop problem with new job insertion.
Knowl. Based Syst., 2016
Discrete harmony search algorithm for flexible job shop scheduling problem with multiple objectives.
J. Intell. Manuf., 2016
An improved artificial bee colony algorithm for flexible job-shop scheduling problem with fuzzy processing time.
Expert Syst. Appl., 2016
Optimizing urban traffic light scheduling problem using harmony search with ensemble of local search.
Appl. Soft Comput., 2016
A Variable Block Insertion Heuristic for the Blocking Flowshop Scheduling Problem with Total Flowtime Criterion.
Algorithms, 2016
Improved model of combinatorial Internet shopping optimization problem using evolutionary algorithms.
Proceedings of the 14th International Conference on Control, 2016
Discrete Jaya algorithm for flexible job shop scheduling problem with new job insertion.
Proceedings of the 14th International Conference on Control, 2016
Proceedings of the 14th International Conference on Control, 2016
Approximate solutions of heat transfer fins with convex and exponential profiles using fourier-based optimization method.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Discrete harmony search algorithm for solving urban traffic light scheduling problem.
Proceedings of the 2016 American Control Conference, 2016
2015
A two-stage artificial bee colony algorithm scheduling flexible job-shop scheduling problem with new job insertion.
Expert Syst. Appl., 2015
Effective ensembles of heuristics for scheduling flexible job shop problem with new job insertion.
Comput. Ind. Eng., 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
2014
Pareto-based grouping discrete harmony search algorithm for multi-objective flexible job shop scheduling.
Inf. Sci., 2014
2013
Load Information Based Priority Dependant Heuristic for Manpower Scheduling Problem in Remanufacturing.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013
A Novel Improved Discrete ABC Algorithm for Manpower Scheduling Problem in Remanufacturing.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013
Proceedings of the Ninth International Conference on Natural Computation, 2013
Hybrid discrete harmony search algorithm for scheduling re-processing problem in remanufacturing.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
An enhanced migrating birds optimization algorithm for no-wait flow shop scheduling problem.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Scheduling, 2013
2012
Asia Pac. J. Oper. Res., 2012
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2012
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2011
Memetic Algorithm based on Improved Inver-over operator and Lin-Kernighan local search for the Euclidean traveling salesman problem.
Comput. Math. Appl., 2011
Hybrid algorithm based on Chemical Reaction Optimization and Lin-Kernighan local search for the Traveling Salesman Problem.
Proceedings of the Seventh International Conference on Natural Computation, 2011
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2011
Proceedings of the Advanced Intelligent Computing - 7th International Conference, 2011
Discrete Harmony Search Algorithm for the No Wait Flow Shop Scheduling Problem with Makespan Criterion.
Proceedings of the Advanced Intelligent Computing - 7th International Conference, 2011
2010
Proceedings of the 2010 International Conference on Machine Vision and Human-machine Interface, 2010
Proceedings of the 2010 International Conference on Machine Vision and Human-machine Interface, 2010
Proceedings of the Sixth International Conference on Natural Computation, 2010
Scheduling the lot-streaming flow shop problem using a shuffled frog-leaping algorithm.
Proceedings of the Sixth International Conference on Natural Computation, 2010
2009
Conceptual Design Knowledge Retrieval, Reuse and Innovation Based on Case and Constraint.
Proceedings of the Second International Workshop on Knowledge Discovery and Data Mining, 2009
2008
Proceedings of the International Workshop on Knowledge Discovery and Data Mining, 2008
Proceedings of the International Symposium on Information Processing, 2008
Proceedings of the 1st International ICST Conference on Forensic Applications and Techniques in Telecommunications, 2008
Proceedings of the International Conference on Computer Science and Software Engineering, 2008
2007
Proceedings of the Third International Conference on Semantics, 2007