Genetic Programming with Multi-case Fitness for Dynamic Flexible Job Shop Scheduling
Author:
Affiliation:
1. School of Engineering and Computer Science Victoria University of Wellington,Wellington 6140,New Zealand
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9870216/9870201/09870340.pdf?arnumber=9870340
Reference30 articles.
1. On Using Surrogates with Genetic Programming
2. Formulation and Solution of Nonlinear Integer Production Planning Problems for Flexible Manufacturing Systems
3. A hybrid genetic algorithm for the job shop scheduling problem
4. An efficient genetic algorithm for job shop scheduling with tardiness objectives
5. A genetic algorithm for the Flexible Job-shop Scheduling Problem
Cited by 3 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. Enhanced Genetic Programming Models with Multiple Equations for Accurate Semi-Autogenous Grinding Mill Throughput Prediction;2024 IEEE Congress on Evolutionary Computation (CEC);2024-06-30
2. Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling;IEEE Transactions on Evolutionary Computation;2024-02
3. Scheduling Optimization of Flexible Workshop Dynamics Based on Big Data;2023 28th International Conference on Automation and Computing (ICAC);2023-08-30
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