Specialized Crossover Operator for the Differential Evolution Algorithm Applied to a Car Sequencing Problem with Constraint Smoothing

Autor: Javier Manzanares, Elvi Sánchez, Héctor Puga, Manuel Ornelas, Martin Carpio

Publikováno v: Studies in Computational Intelligence ISBN: 9783031082658

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::548ba2ad49eab69461a2d9aec0ccda60
https://doi.org/10.1007/978-3-031-08266-5_19

Parameter optimization for the smoothed-particle hydrodynamics method by means of evolutionary metaheuristics

Autor: Alfonso Rojas-Domínguez, Martín Carpio, Laura Cruz-Reyes, J. F. Mosiño, S. Jeyakumar, Juan De Anda-Suarez, Héctor Puga

Publikováno v: Computer Physics Communications. 243:30-40

Simulation of fluid dynamics using the Smoothed-Particle Hydrodynamics (SPH) technique, has many applications in areas such as engineering, video games, animation, and graphics. In many of these cases, the values of the SPH parameters employed, such

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::de7625a670b82a168a46304b1525cb5c
https://doi.org/10.1016/j.cpc.2019.05.008

Combinatorial Designs on Constraint Satisfaction Problem (VRP)

Autor: Manuel Ornelas-Rodríguez, Héctor Puga, Lucero Ortiz-Aguilar, J. Martín Carpio, Juan A. Montesino-Guerra, Alfonso Rojas-Domínguez

Publikováno v: Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications ISBN: 9783030354442
Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms

The constraint satisfaction problems (CSP) often show great complexity and require a combination of heuristic methods and combinatorial search to be solved in a reasonable time. Therefore, they are of particular importance in the area of intelligent

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bebb7de3b402f95f593abbc9927a3715
https://doi.org/10.1007/978-3-030-35445-9_36

Comparing Evolutionary Artificial Neural Networks from Second and Third Generations for Solving Supervised Classification Problems

Autor: J. Martín Carpio, Alfonso Rojas-Domínguez, Jorge A. Soria-Alcaraz, Horacio Rostro-Gonzalez, Andrés Espinal, G. López-Vázquez, Manuel Ornelas-Rodríguez, Héctor Puga

Publikováno v: Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications ISBN: 9783030354442
Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms

Constituting nature-inspired computational systems, Artificial Neural Networks (ANNs) are generally classified into several generations depending on the features and capabilities of their neuron models. As generations develop, newer models of ANNs po

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dd753d22690e78882014d74f30597e24
https://doi.org/10.1007/978-3-030-35445-9_42

A novel formulation of orthogonal polynomial kernel functions for SVM classifiers: The Gegenbauer family

Autor: Héctor Fraire, Alfonso Rojas-Domínguez, Luis Carlos Padierna, Martín Carpio, Héctor Puga

Publikováno v: Pattern Recognition. 84:211-225

Orthogonal polynomial kernels have been recently introduced to enhance support vector machine classifiers by reducing their number of support vectors. Previous works have studied these kernels as isolated cases and discussed only particular aspects.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::69a20c109eb77145ead45637d79af01c
https://doi.org/10.1016/j.patcog.2018.07.010