Evolutive Layers in M3GP Basis for Symbolic Deep Learning Models

Created by W.Langdon from gp-bibliography.bib Revision:1.8638

@Article{Munoz:2025:CyS,

• author = "Luis {Munoz Delgado}",
• title = "Evolutive Layers in {M3GP} Basis for Symbolic Deep Learning Models",
• journal = "Computacion y Sistemas",
• year = "2025",
• volume = "29",
• number = "3",
• pages = "1425--1439",
• keywords = "genetic algorithms, genetic programming, GPLAB, M3GP, evolutive layers, classification, regression machine learning, constructive induction, deep learning, symbolic",
• ISSN = "2007-9737",
• URL = "http://polibits.ojs.gelbukh.com/ojs/index.php/CyS/article/view/5903/4048",
• DOI = "10.13053/CyS-29-3-5903",
• size = "15 pages",
• abstract = "constructive induction in genetic programming through the Multidimensional Multiclass Genetic Programming with Multidimensional populations also known as M3GP algorithm. M3GP is leveraged to create new features that either augment the original dataset or transform it into a refined version, resulting in improved performance for learning algorithms. integration of an evolutive layer structure within M3GP, where the n best-performing features generated in the previous iterations are reused to continuously enhance performance. This approach parallels the concept of layers in neural networks, establishing a pathway for symbolic construction methods, such as genetic programming, to incorporate layered learning. is defining the structure of operation that can be applied in any constructive induction method to connect the improvement of symbolic models, and sampling key points of improvement for configuration options. potential of evolutionary layering to improve feature generation and model accuracy, marking an advancement in the constructive induction field into a deep learning process. The result shows a higher tendency of fitness improvement against non-layered networks for regression problems and a lower improvement in classification problems",
• notes = "In English",

}

Genetic Programming entries for Luis Munoz Delgado

Citations