Investigation of Linear Genetic Programming for Dynamic Job Shop Scheduling-Reference-Cited by-同舟云学术

Investigation of Linear Genetic Programming for Dynamic Job Shop Scheduling

Published:2021-12-05 Issue: Volume: Page:
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Container-title:2021 IEEE Symposium Series on Computational Intelligence (SSCI)
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Author:

Huang Zhixing,Mei Yi,Zhang Mengjie

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9659537/9659538/09660091.pdf?arnumber=9660091

Reference37 articles.

1. Evolutionary dynamics on multiple scales: a quantitative analysis of the interplay between genotype, phenotype, and fitness in linear genetic programming

2. Rethinking multilevel selection in genetic programming

3. Niching Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling

4. Constrained dimensionally aware genetic programming for evolving interpretable dispatching rules in dynamic job shop scheduling;mei;Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),2017

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4. Grammar-guided Linear Genetic Programming for Dynamic Job Shop Scheduling;Proceedings of the Genetic and Evolutionary Computation Conference;2023-07-12

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