Niching Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling
Author:
Affiliation:
1. Victoria University of Wellington, Wellington, New Zealand
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2908961.2908985
Reference4 articles.
1. Automated Design of Production Scheduling Heuristics: A Review
2. Ensemble based systems in decision making
3. Evolving "less-myopic" scheduling rules for dynamic job shop scheduling with genetic programming
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling;IEEE Transactions on Evolutionary Computation;2024-02
2. Genetic Programming with Cluster Selection for Dynamic Flexible Job Shop Scheduling;2022 IEEE Congress on Evolutionary Computation (CEC);2022-07-18
3. Investigation of Linear Genetic Programming for Dynamic Job Shop Scheduling;2021 IEEE Symposium Series on Computational Intelligence (SSCI);2021-12-05
4. Genetic programming for production scheduling: a survey with a unified framework;Complex & Intelligent Systems;2017-02-24
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