Task Relatedness Based Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling-Reference-Cited by-同舟云学术

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Task Relatedness Based Multitask Genetic Programming for Dynamic Flexible Job Shop Scheduling

Published:2022 Issue: Volume: Page:1-1
ISSN:1089-778X
Container-title:IEEE Transactions on Evolutionary Computation
language:
Short-container-title:IEEE Trans. Evol. Computat.

Author:

Zhang Fangfang¹^ORCID,Mei Yi¹^ORCID,Nguyen Su²^ORCID,Tan Kay Chen³^ORCID,Zhang Mengjie¹^ORCID

Affiliation:

1. School of Engineering and Computer Science, Evolutionary Computation Research Group, Victoria University of Wellington, Wellington, New Zealand

2. Centre for Data Analytics and Cognition, La Trobe University, Melbourne, VIC, Australia

3. Department of Computing, The Hong Kong Polytechnic University, Hong Kong

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

http://xplorestaging.ieee.org/ielx7/4235/4358751/09861686.pdf?arnumber=9861686

Cited by 15 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. A two-stage accelerated search strategy for large-scale multi-objective evolutionary algorithm;Information Sciences;2025-01

2. MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional Feature Selection;IEEE Transactions on Knowledge and Data Engineering;2024-08

3. Generate a Single Heuristic for Multiple Dynamic Flexible Job Shop Scheduling Tasks by Genetic Programming;2024 IEEE Congress on Evolutionary Computation (CEC);2024-06-30

4. An Evolutionary Multitasking Ant Colony Optimization Method Based on Population Diversity Control for Multimodal Transport Problems;International Journal of Computational Intelligence Systems;2024-06-24

5. Survey on Genetic Programming and Machine Learning Techniques for Heuristic Design in Job Shop Scheduling;IEEE Transactions on Evolutionary Computation;2024-02

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