Lino Alberto Rodríguez Coayahuitl

According to our database, Lino Alberto Rodríguez Coayahuitl authored at least 8 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Problem Decomposition Strategies and Credit Distribution Mechanisms in Modular Genetic Programming for Supervised Learning.

Lino Alberto Rodríguez Coayahuitl, Ansel Y. Rodríguez-González, Daniel Fajardo-Delgado, Maria Guadalupe Sánchez Cervantes

IEEE Trans. Evol. Comput., December, 2025

Spatially Distributed Learning.

Liván García Lache, Lino Alberto Rodríguez Coayahuitl, Ansel Yoan Rodríguez-González

Proceedings of the Advances in Soft Computing, 2025

2023

TurboGP: A flexible and advanced python based GP library.

Lino Alberto Rodríguez Coayahuitl, Alicia Morales-Reyes, Hugo Jair Escalante

CoRR, 2023

2020

Deep Representation Learning with Genetic Programming

Lino Alberto Rodríguez Coayahuitl

PhD thesis, 2020

Cooperative Co-Evolutionary Genetic Programming for High Dimensional Problems.

Lino Alberto Rodríguez Coayahuitl, Alicia Morales-Reyes, Hugo Jair Escalante, Carlos A. Coello Coello

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

2019

Evolving autoencoding structures through genetic programming.

Lino Alberto Rodríguez Coayahuitl, Alicia Morales-Reyes, Hugo Jair Escalante

Genet. Program. Evolvable Mach., 2019

Convolutional Genetic Programming.

Lino Alberto Rodríguez Coayahuitl, Alicia Morales-Reyes, Hugo Jair Escalante

Proceedings of the Pattern Recognition - 11th Mexican Conference, 2019

2018

Structurally Layered Representation Learning: Towards Deep Learning Through Genetic Programming.

Lino Alberto Rodríguez Coayahuitl, Alicia Morales-Reyes, Hugo Jair Escalante

Proceedings of the Genetic Programming - 21st European Conference, 2018