A study of gene expression programming algorithm for dynamically adjusting the parameters of genetic operators
Saved in:
| Main Authors: | Kejia Liu, Yiping Teng, Fang Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12129357/?tool=EBI |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The genetically programmed rhythmic alteration of diurnal gene expression in the aged Arabidopsis leaves
by: Sukjoon Jung, et al.
Published: (2024-11-01) -
Adaptive Representations for Improving Evolvability, Parameter Control, and Parallelization of Gene Expression Programming
by: Nigel P. A. Browne, et al.
Published: (2010-01-01) -
Prediction of the Void Ratio Parameter in Mineral Tailings Using Gene Expression Programming
by: Ali Akbar Heshmati R., et al.
Published: (2020-01-01) -
Invesitgation of Drilling Parameters on Thrust Force on AZ91 Magnesium Alloy by Genetic Expression Programming
by: Kemal ALDAŞ, et al.
Published: (2014-09-01) -
Invesitgation of Drilling Parameters on Thrust Force on AZ91 Magnesium Alloy by Genetic Expression Programming
by: Kemal ALDAŞ, et al.
Published: (2014-09-01)