Chapter 13 - Gene expression models

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InCollection{RIAHIMADVAR:2023:HH,

• author = "Hossien Riahi-Madvar and Mahsa Gholami and Saeid Eslamian",
• title = "Chapter 13 - Gene expression models",
• editor = "Saeid Eslamian and Faezeh Eslamian",
• booktitle = "Handbook of Hydroinformatics",
• publisher = "Elsevier",
• pages = "221--241",
• year = "2023",
• isbn13 = "978-0-12-821285-1",
• DOI = "doi:10.1016/B978-0-12-821285-1.00011-7",
• URL = "https://www.sciencedirect.com/science/article/pii/B9780128212851000117",
• keywords = "genetic algorithms, genetic programming, Gene expression programming, Multigene genetic programming, Tree depth, Pareto-optimal, Hydraulic",
• abstract = "This chapter considers the gene expression programming (GEP), different types, and developments of GEP-based techniques in hydroinformatics. The genetic programming (GP), linear genetic programming (LGP), GEP, multigene genetic programming, tree-GEP, and pareto-optimal multigene genetic programming are introduced, and their applicability in various fields of hydraulic and hydroinformatics is discussed. The results of the case studies of GEP-based models confirmed the accuracy and suitability of these techniques in various aspects of hydraulic and hydrology models. Several function findings using GEP-based methods in hydraulic and river engineering are performed, and their explicit equations are derived as a strength model induction engine. The results of the case studies confirmed the general aspects and accuracy of GEP in function findings",

}

Genetic Programming entries for Hossien Riahi-Madvar Mahsa Gholami Saeid Eslamian

Citations