Tieke Li
According to our database1,
Tieke Li
authored at least 28 papers
between 2007 and 2023.
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Bibliography
2023
Deep learning-based prediction framework of temperature control time for wide-thick slab hot rolling production.
Expert Syst. Appl., October, 2023
2022
Int. J. Inf. Syst. Supply Chain Manag., 2022
Proceedings of the 15th International Symposium on Computational Intelligence and Design, 2022
Comparison of temperature control time prediction models for wide and thick plates based on machine learning.
Proceedings of the 15th International Symposium on Computational Intelligence and Design, 2022
Proceedings of the 15th International Symposium on Computational Intelligence and Design, 2022
DQN-based online scheduling algorithm for hybrid flow shop to minimize the total tardiness.
Proceedings of the 15th International Symposium on Computational Intelligence and Design, 2022
Hyper-heuristic genetic algorithm for hybrid flow shop scheduling problem with unrelated parallel machines.
Proceedings of the 15th International Symposium on Computational Intelligence and Design, 2022
Multi-population genetic algorithm for seamless steel tube blank design considering delivery time.
Proceedings of the 15th International Symposium on Computational Intelligence and Design, 2022
2021
Sim-DRS: a similarity-based dynamic resource scheduling algorithm for microservice-based web systems.
PeerJ Comput. Sci., 2021
A discrete differential evolution algorithm for flow shop group scheduling problem with sequence-dependent setup and transportation times.
J. Intell. Manuf., 2021
The Impact of Customer Halal Supply Chain Knowledge on Customer Halal Fashion Purchase Intention.
Inf. Resour. Manag. J., 2021
Proceedings of the 14th International Symposium on Computational Intelligence and Design, 2021
Research on Steelmaking-Continuous Casting Scheduling Problem with Uncertain Processing Times.
Proceedings of the 14th International Symposium on Computational Intelligence and Design, 2021
An optimization method for rush order insertion rescheduling problem under the constraints of hot rolling process.
Proceedings of the 14th International Symposium on Computational Intelligence and Design, 2021
Improved Ant Colony System for Cast Planning Problem with Consideration of On-line Mould Width Adjustment.
Proceedings of the 14th International Symposium on Computational Intelligence and Design, 2021
Genetic Programming-based Heuristic Generation Algorithm for Steelmaking - Continuous Casting Scheduling.
Proceedings of the 14th International Symposium on Computational Intelligence and Design, 2021
Proceedings of the 14th International Symposium on Computational Intelligence and Design, 2021
2020
A co-evolutionary genetic algorithm for the two-machine flow shop group scheduling problem with job-related blocking and transportation times.
Expert Syst. Appl., 2020
2018
J. Sched., 2018
Comput. Ind. Eng., 2018
Generation of Dispatching Rules for Hot Rolling Batch Scheduling of Seamless Steel Tube Based on Genetic Programming.
Proceedings of the 11th International Symposium on Computational Intelligence and Design, 2018
2017
Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017
Job Rejection Strategies in Genetic Algorithm for Permutation Flowshop Scheduling Problem with Rejection.
Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017
Estimation of Distribution Algorithm with Machine Learning for Permutation Flowshop Scheduling with Total Tardiness Criterion.
Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017
2016
Proceedings of the 9th International Symposium on Computational Intelligence and Design, 2016
2014
Overtime capacity expansion in order acceptance with node based estimation of distribution algorithms.
Proceedings of the 2014 IEEE International Conference on Industrial Engineering and Engineering Management, 2014
2008
Proceedings of the Fourth International Conference on Natural Computation, 2008
2007
Proceedings of the New Trends in Applied Artificial Intelligence, 2007