Yuyan Han
Orcid: 0000-0001-8963-5421
According to our database1,
Yuyan Han
authored at least 52 papers
between 2010 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Evol. Comput., April, 2024
Automatic design of constructive heuristics for a reconfigurable distributed flowshop group scheduling problem.
Comput. Oper. Res., January, 2024
Swarm Evol. Comput., 2024
Solving the multi-objective path planning problem for mobile robot using an improved NSGA-II algorithm.
Swarm Evol. Comput., 2024
A novel collaborative iterative greedy algorithm for hybrid flowshop scheduling problem with batch processing machines and variable sublots.
Int. J. Prod. Res., 2024
MIP modeling of energy-conscious FJSP and its extended problems:From simplicity to complexity.
Expert Syst. Appl., 2024
2023
Redefining hybrid flow shop group scheduling: Unveiling a novel hybrid modeling paradigm and assessing 48 MILP and CP models.
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
Energy-Efficient Iterative Greedy Algorithm for the Distributed Hybrid Flow Shop Scheduling With Blocking Constraints.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023
IEEE Trans. Ind. Informatics, June, 2023
Reconfigurable distributed flowshop group scheduling with a nested variable neighborhood descent algorithm.
Expert Syst. Appl., May, 2023
An effective self-adaptive iterated greedy algorithm for a multi-AGVs scheduling problem with charging and maintenance.
Expert Syst. Appl., April, 2023
Invasive weed optimization for multi-AGVs dispatching problem in a matrix manufacturing workshop.
Swarm Evol. Comput., March, 2023
An effective fruit fly optimization algorithm for the distributed permutation flowshop scheduling problem with total flowtime.
Eng. Appl. Artif. Intell., 2023
2022
A discrete artificial bee colony method based on variable neighborhood structures for the distributed permutation flowshop problem with sequence-dependent setup times.
Swarm Evol. Comput., 2022
An improved iterated greedy algorithm for the energy-efficient blocking hybrid flow shop scheduling problem.
Swarm Evol. Comput., 2022
Intelligent optimization under blocking constraints: A novel iterated greedy algorithm for the hybrid flow shop group scheduling problem.
Knowl. Based Syst., 2022
QMOEA: A Q-learning-based multiobjective evolutionary algorithm for solving time-dependent green vehicle routing problems with time windows.
Inf. Sci., 2022
A collaborative iterative greedy algorithm for the scheduling of distributed heterogeneous hybrid flow shop with blocking constraints.
Expert Syst. Appl., 2022
Comput. Ind. Eng., 2022
An improved iterated greedy algorithm for distributed robotic flowshop scheduling with order constraints.
Comput. Ind. Eng., 2022
An effective iterative greedy algorithm for distributed blocking flowshop scheduling problem with balanced energy costs criterion.
Appl. Soft Comput., 2022
2021
J. Intell. Fuzzy Syst., 2021
Solving Type-2 Fuzzy Distributed Hybrid Flowshop Scheduling Using an Improved Brain Storm Optimization Algorithm.
Int. J. Fuzzy Syst., 2021
Multi-Modal Multi-Objective Traveling Salesman Problem and its Evolutionary Optimizer.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Proceedings of the Intelligent Computing Theories and Application, 2021
2020
Hybrid Artificial Bee Colony Algorithm for a Parallel Batching Distributed Flow-Shop Problem With Deteriorating Jobs.
IEEE Trans. Cybern., 2020
Efficient multi-objective algorithm for the lot-streaming hybrid flowshop with variable sub-lots.
Swarm Evol. Comput., 2020
An improved Jaya algorithm for solving the flexible job shop scheduling problem with transportation and setup times.
Knowl. Based Syst., 2020
Metaheuristics for solving the vehicle routing problem with the time windows and energy consumption in cold chain logistics.
Appl. Soft Comput., 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
An improved brain storm optimization algorithm for fuzzy distributed hybrid flowshop scheduling with setup time.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Evolutionary Multiobjective Blocking Lot-Streaming Flow Shop Scheduling With Machine Breakdowns.
IEEE Trans. Cybern., 2019
Effective invasive weed optimization algorithms for distributed assembly permutation flowshop problem with total flowtime criterion.
Swarm Evol. Comput., 2019
An improved artificial bee colony algorithm for addressing distributed flow shop with distance coefficient in a prefabricated system.
Int. J. Prod. Res., 2019
A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems.
IEEE CAA J. Autom. Sinica, 2019
Multi-Objective Migrating Birds Optimization Algorithm for Stochastic Lot-Streaming Flow Shop Scheduling With Blocking.
IEEE Access, 2019
IEEE Access, 2019
Solving the vehicle routing problem with time window by using an improved brain strom optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Searching for Local Pareto Optimal Solutions: A Case Study on Polygon-Based Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
A novel hybrid multi-objective artificial bee colony algorithm for blocking lot-streaming flow shop scheduling problems.
Knowl. Based Syst., 2018
A Hybrid Pareto-Based Tabu Search for the Distributed Flexible Job Shop Scheduling Problem With E/T Criteria.
IEEE Access, 2018
An Improved Discrete Migrating Birds Optimization for Lot-Streaming Flow Shop Scheduling Problem with Blocking.
Proceedings of the Intelligent Computing Theories and Application, 2018
2017
A Hybrid Artificial Bee Colony Algorithm to Solve Multi-objective Hybrid Flowshop in Cloud Computing Systems.
Proceedings of the Cloud Computing and Security - Third International Conference, 2017
2016
Evolutionary multi-objective blocking lot-streaming flow shop scheduling with interval processing time.
Appl. Soft Comput., 2016
2015
Soft Comput., 2015
2011
Minimizing the Total Flowtime Flowshop with Blocking Using a Discrete Artificial Bee Colony.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2011
2010
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010