Hugo Terashima-Marín

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 54

Top Venues

CEC

CoRR

MCPR

Comput. Intell. Neurosci.

Publications

Jose M. Tapia-Avitia, Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Nelishia Pillay
Analysing hyper-heuristics based on Neural Networks for the automatic design of population-based metaheuristics in continuous optimisation problems. Swarm Evol. Comput. 89 (2024)
Julio Juárez, Carlos A. Brizuela, Hugo Terashima-Marín, Carlos A. Coello Coello
Recombination Operators for the Multi-Objective Team Formation Problem in Social Networks. CEC (2024)
Guillermo Pérez-Espinosa, Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Nelishia Pillay
Tailoring Metaheuristics for Designing Thermodynamic-Optimal Cooling Devices for Microelectronic Thermal Management Applications. CEC (2024)
José Carlos Ortiz-Bayliss, Anna Karen Gárate-Escamilla, Hugo Terashima-Marín
Missing Data and Their Effect on Algorithm Selection for the Bin Packing Problem. MCPR (2024)
Gerardo Ibarra-Vázquez, Hugo Terashima-Marín, Carlos A. Coello Coello
Exploring Generative AIs as Population Variation Operator in Multi-objective Optimization Problems. CEC (2024)
Mohd Anas Wajid, Aasim Zafar, Hugo Terashima-Marín, Mohammad Saif Wajid
Neutrosophic-CNN-based image and text fusion for multimodal classification. J. Intell. Fuzzy Syst. 45 (1) (2023)
Roberto García-Torres, Alitzel Adriana Macias-Infante, Santiago Enrique Conant-Pablos, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín
Combining Constructive and Perturbative Deep Learning Algorithms for the Capacitated Vehicle Routing Problem. CoRR (2022)
Kevin B. Kwan-Loo, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Peyman Najafirad
Detection of Violent Behavior Using Neural Networks and Pose Estimation. IEEE Access 10 (2022)
Jose M. Tapia-Avitia, Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Nelishia Pillay
A Primary Study on Hyper-Heuristics Powered by Artificial Neural Networks for Customising Population-based Metaheuristics in Continuous Optimisation Problems. CEC (2022)
Mohammad Saif Wajid, Hugo Terashima-Marín, Peyman Najafirad, Mohd Anas Wajid
Correction: Violence detection approach based on cloud data and Neutrosophic cognitive maps. J. Cloud Comput. 11 (2022)
Mohammad Saif Wajid, Hugo Terashima-Marín, Peyman Najafirad, Mohd Anas Wajid
Violence Detection Approach based on Cloud Data and Neutrosophic Cognitive Maps. J. Cloud Comput. 11 (2022)
P. K. Gupta, Mohammad Khubeb Siddiqui, Xiaodi Huang, Rubén Morales-Menéndez, Harsh Panwar, Hugo Terashima-Marín, Mohammad Saif Wajid
COVID-WideNet - A capsule network for COVID-19 detection. Appl. Soft Comput. 122 (2022)
Guillermo A. Martínez-Mascorro, José R. Abreu-Pederzini, José Carlos Ortiz-Bayliss, Angel Garcia-Collantes, Hugo Terashima-Marín
Criminal Intention Detection at Early Stages of Shoplifting Cases by Using 3D Convolutional Neural Networks. Comput. 9 (2) (2021)
Felipe de la Rosa-Rivera, José I. Nuñez-Varela, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín
Algorithm selection for solving educational timetabling problems. Expert Syst. Appl. 174 (2021)
Jesús Andrés Portillo-Quintero, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín
A Straightforward Framework for Video Retrieval Using CLIP. MCPR (2021)
Frumen Olivas, Iván Amaya, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín
Enhancing Hyperheuristics for the Knapsack Problem through Fuzzy Logic. Comput. Intell. Neurosci. 2021 (2021)
Jesús Andrés Portillo-Quintero, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín
A Straightforward Framework For Video Retrieval Using CLIP. CoRR (2021)
Carlos Tejeda-Ocampo, Armando López-Cuevas, Hugo Terashima-Marín
Improving Deep Interactive Evolution with a Style-Based Generator for Artistic Expression and Creative Exploration. Entropy 23 (1) (2021)
Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Yong Shi
Hyper-Heuristics to customise metaheuristics for continuous optimisation. Swarm Evol. Comput. 66 (2021)
Guillermo A. Martínez-Mascorro, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín
Detecting Suspicious Behavior: How to Deal with Visual Similarity through Neural Networks. CoRR (2020)
Guillermo A. Martínez-Mascorro, José R. Abreu-Pederzini, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín
Suspicious Behavior Detection on Shoplifting Cases for Crime Prevention by Using 3D Convolutional Neural Networks. CoRR (2020)
Frumen Olivas, Iván Amaya, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín
A Fuzzy Hyper-Heuristic Approach for the 0-1 Knapsack Problem. CEC (2020)
Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Yong Shi
CUSTOMHyS: Customising Optimisation Metaheuristics via Hyper-heuristic Search. SoftwareX 12 (2020)
Nihar Bendre, Hugo Terashima-Marín, Peyman Najafirad
Learning from Few Samples: A Survey. CoRR (2020)
Erick Lara-Cárdenas, Arturo Silva-Gálvez, José Carlos Ortiz-Bayliss, Iván Amaya, Jorge M. Cruz-Duarte, Hugo Terashima-Marín
Exploring Reward-based Hyper-heuristics for the Job-shop Scheduling Problem. SSCI (2020)
Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín
A Primary Study on Hyper-Heuristics to Customise Metaheuristics for Continuous optimisation. CEC (2020)
Xavier Sánchez, José Carlos Ortiz-Bayliss, Iván Amaya, Jorge M. Cruz-Duarte, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín
A Preliminary Study on Feature-independent Hyper-heuristics for the 0/1 Knapsack Problem. CEC (2020)
Arturo Silva-Gálvez, Jorge Orozco-Sanchez, Erick Lara-Cárdenas, José Carlos Ortiz-Bayliss, Iván Amaya, Jorge M. Cruz-Duarte, Hugo Terashima-Marín
Discovering Action Regions for Solving the Bin Packing Problem through Hyper-heuristics. SSCI (2020)
Fernando Garza-Santisteban, Iván Amaya, Jorge Cruz, José Carlos Ortiz-Bayliss, Ender Özcan, Hugo Terashima-Marín
Exploring Problem State Transformations to Enhance Hyper-heuristics for the Job-Shop Scheduling Problem. CEC (2020)
Melissa Sánchez, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Hector G. Ceballos, Hugo Terashima-Marín, Iván Amaya
A Systematic Review of Hyper-Heuristics on Combinatorial Optimization Problems. IEEE Access 8 (2020)
Fernando Garza-Santisteban, Jorge M. Cruz-Duarte, Iván Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín
Influence of Instance Size on Selection Hyper-Heuristics for Job Shop Scheduling Problems. SSCI (2019)
Iván Amaya, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín
Hyper-heuristics Reversed: Learning to Combine Solvers by Evolving Instances. CEC (2019)
Luis Fernando Plata-González, Iván Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello
Evolutionary-based tailoring of synthetic instances for the Knapsack problem. Soft Comput. 23 (23) (2019)
Andrés Eduardo Gutiérrez-Rodríguez, Santiago E. Conant-Pablos, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín
Selecting meta-heuristics for solving vehicle routing problems with time windows via meta-learning. Expert Syst. Appl. 118 (2019)
Fernando Garza-Santisteban, Roberto Sánchez-Pámanes, Luis Antonio Puente Rodríguez, Iván Amaya, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín
A Simulated Annealing Hyper-heuristic for Job Shop Scheduling Problems. CEC (2019)
Iván Amaya, José Carlos Ortiz-Bayliss, Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello
Enhancing Selection Hyper-Heuristics via Feature Transformations. IEEE Comput. Intell. Mag. 13 (2) (2018)
Iván Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello
Tailoring Instances of the 1D Bin Packing Problem for Assessing Strengths and Weaknesses of Its Solvers. PPSN (2) (2018)
Bronson Duhart, Fernando Camarena, José Carlos Ortiz-Bayliss, Iván Amaya, Hugo Terashima-Marín
An Experimental Study on Ant Colony Optimization Hyper-Heuristics for Solving the Knapsack Problem. MCPR (2018)
Iván Amaya, José Carlos Ortiz-Bayliss, Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello
Enhancing Selection Hyper-heuristics via Feature Transformations. CoRR (2018)
José Carlos Ortiz-Bayliss, Iván Amaya, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín
Exploring the Impact of Early Decisions in Variable Ordering for Constraint Satisfaction Problems. Comput. Intell. Neurosci. 2018 (2018)
Juan-Carlos Gomez, Hugo Terashima-Marín
Evolutionary hyper-heuristics for tackling bi-objective 2D bin packing problems. Genet. Program. Evolvable Mach. 19 (1-2) (2018)
Jorge Rodríguez-Ruiz, Miguel Angel Medina-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Raúl Monroy, Hugo Terashima-Marín
Cluster validation using an ensemble of supervised classifiers. Knowl. Based Syst. 145 (2018)
Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Salvador García, Hugo Terashima-Marín, Carlos A. Coello Coello, Francisco Herrera
Cooperative multi-objective evolutionary support vector machines for multiclass problems. GECCO (2018)
Alejandro Rosales-Pérez, Salvador García, Hugo Terashima-Marín, Carlos A. Coello Coello, Francisco Herrera
MC2ESVM: Multiclass Classification Based on Cooperative Evolution of Support Vector Machines. IEEE Comput. Intell. Mag. 13 (2) (2018)
Iván Amaya, José Carlos Ortiz-Bayliss, Andrés Eduardo Gutiérrez-Rodríguez, Hugo Terashima-Marín, Carlos A. Coello Coello
Improving hyper-heuristic performance through feature transformation. CEC (2017)
Andrés Eduardo Gutiérrez-Rodríguez, José Carlos Ortiz-Bayliss, Alejandro Rosales-Pérez, Ivan M. Amaya-Contreras, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello
Applying automatic heuristic-filtering to improve hyper-heuristic performance. CEC (2017)
Fernando Gómez-Herrera, Rodolfo A. Ramirez-Valenzuela, José Carlos Ortiz-Bayliss, Iván Amaya, Hugo Terashima-Marín
A Quartile-Based Hyper-heuristic for Solving the 0/1 Knapsack Problem. MICAI (1) (2017)
Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Carlos A. Coello Coello
Evolutionary multilabel hyper-heuristic design. CEC (2017)
Jorge Humberto Moreno-Scott, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos
Experimental Matching of Instances to Heuristics for Constraint Satisfaction Problems. Comput. Intell. Neurosci. 2016 (2016)
Alejandro Sosa-Ascencio, Gabriela Ochoa, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos
Grammar-based generation of variable-selection heuristics for constraint satisfaction problems. Genet. Program. Evolvable Mach. 17 (2) (2016)
David Espinoza-Nevárez, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Gustavo Gatica
Selection and Generation Hyper-heuristics for Solving the Vehicle Routing Problem with Time Windows. GECCO (Companion) (2016)
José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos
A Neuro-evolutionary Hyper-heuristic Approach for Constraint Satisfaction Problems. Cogn. Comput. 8 (3) (2016)
Alejandro Sosa-Ascencio, Hugo Terashima-Marín, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos
Grammar-based Selection Hyper-heuristics for Solving Irregular Bin Packing Problems. GECCO (Companion) (2016)
José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos
Combine and conquer: an evolutionary hyper-heuristic approach for solving constraint satisfaction problems. Artif. Intell. Rev. 46 (3) (2016)
José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos
Lifelong Learning Selection Hyper-heuristics for Constraint Satisfaction Problems. MICAI (1) (2015)
José Carlos Ortiz-Bayliss, Dulce Jaqueline Magaña-Lozano, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos
A Recursive Split, Solve, and Join Strategy for Solving Constraint Satisfaction Problems. MICAI (Special Sessions) (2015)
Eunice López-Camacho, Hugo Terashima-Marín, Peter Ross, Gabriela Ochoa
A unified hyper-heuristic framework for solving bin packing problems. Expert Syst. Appl. 41 (15) (2014)
Edgar Reyna-Ayala, Santiago E. Conant-Pablos, Hugo Terashima-Marín
Assembling Similar Tracking Approaches in Order to Strengthen Performance. MCPR (2014)
José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos
Learning vector quantization for variable ordering in constraint satisfaction problems. Pattern Recognit. Lett. 34 (4) (2013)
Alejandro Sosa-Ascencio, Hugo Terashima-Marín, Manuel Valenzuela-Rendón
Grammar-based Genetic Programming for evolving variable ordering heuristics. IEEE Congress on Evolutionary Computation (2013)
Adriana Perez-Lopez, Rosario Baltazar, Juan Martín Carpio, Hugo Terashima-Marín, Dulce J. Magaña-Lozano, Héctor J. Puga
Homogeneous Population Solving the Minimal Perturbation Problem in Dynamic Scheduling of Surgeries. MICAI (1) (2013)
Eunice López-Camacho, Gabriela Ochoa, Hugo Terashima-Marín, Edmund K. Burke
An effective heuristic for the two-dimensional irregular bin packing problem. Ann. Oper. Res. 206 (1) (2013)
Eunice López-Camacho, Hugo Terashima-Marín
Evolving feature selection for characterizing and solving the 1D and 2D bin packing problem. IEEE Congress on Evolutionary Computation (2013)
José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos
Branching Schemes and Variable Ordering Heuristics for Constraint Satisfaction Problems: Is There Something to Learn? NICSO (2013)
José Carlos Ortiz-Bayliss, Ender Ozcan, Andrew J. Parkes, Hugo Terashima-Marín
A genetic programming hyper-heuristic: Turning features into heuristics for constraint satisfaction. UKCI (2013)
José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago E. Conant-Pablos
Using learning classifier systems to design selective hyper-heuristics for constraint satisfaction problems. IEEE Congress on Evolutionary Computation (2013)
José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Ender Ozcan, Andrew J. Parkes, Santiago E. Conant-Pablos
Exploring heuristic interactions in constraint satisfaction problems: A closer look at the hyper-heuristic space. IEEE Congress on Evolutionary Computation (2013)
José Carlos Ortiz-Bayliss, Jorge Humberto Moreno-Scott, Hugo Terashima-Marín
Automatic Generation of Heuristics for Constraint Satisfaction Problems. NICSO (2013)
José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos
A Supervised Learning Approach to Construct Hyper-heuristics for Constraint Satisfaction. MCPR (2013)
Juan-Carlos Gomez, Hugo Terashima-Marín
Construyendo híper-heurísticas generales para problemas de corte multi-objetivo. Computación y Sistemas 16 (3) (2012)
Jorge Humberto Moreno-Scott, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos
Challenging heuristics: evolving binary constraint satisfaction problems. GECCO (2012)
Alejandro Sosa-Ascencio, Manuel Valenzuela-Rendón, Hugo Terashima-Marín
Cooperative Coevolution of Automatically Defined Functions with Gene Expression Programming. MICAI (Special Sessions) (2012)
José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos, Ender Özcan, Andrew J. Parkes
Improving the performance of vector hyper-heuristics through local search. GECCO (2012)
Alan I. Torres-Nogales, Santiago E. Conant-Pablos, Hugo Terashima-Marín
Local Features Classification for Adaptive Tracking. MICAI (1) (2012)
Eunice López-Camacho, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos
The impact of the bin packing problem structure in hyper-heuristic performance. GECCO (Companion) (2012)
Dulce J. Magaña-Lozano, Santiago E. Conant-Pablos, Hugo Terashima-Marín
Exploring the Solution of Course Timetabling Problems through Heuristic Segmentation. MICAI (1) (2012)
José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Ender Özcan, Andrew J. Parkes, Santiago Enrique Conant-Pablos
Variable and Value Ordering Decision Matrix Hyper-heuristics: A Local Improvement Approach. MICAI (1) (2011)
Santiago Enrique Conant-Pablos, Halley Jarumy Ferrer-Soriano, Hugo Terashima-Marín
Evolving solutions of mixed-model assembly line balancing problems by chaining heuristic optimization methods: track: evolutionary combinatorial optimization and meta-heuristics. GECCO (Companion) (2011)
José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago E. Conant-Pablos
Neural Networks to Guide the Selection of Heuristics within Constraint Satisfaction Problems. MCPR (2011)
José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Ender Özcan, Andrew J. Parkes
On the idea of evolving decision matrix hyper-heuristics for solving constraint satisfaction problems. GECCO (Companion) (2011)
Eunice López-Camacho, Hugo Terashima-Marín, Peter Ross
A hyper-heuristic for solving one and two-dimensional bin packing problems. GECCO (Companion) (2011)
José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Peter Ross, Santiago Enrique Conant-Pablos
Evolution of neural networks topologies and learning parameters to produce hyper-heuristics for constraint satisfaction problems. GECCO (Companion) (2011)
Juan-Carlos Gomez, Hugo Terashima-Marín
Approximating Multi-Objective Hyper-Heuristics for Solving 2D Irregular Cutting Stock Problems. MICAI (2) (2010)
Hugo Terashima-Marín, Peter Ross, Cláudia J. Farías Zárate, Eunice López-Camacho, Manuel Valenzuela-Rendón
Generalized hyper-heuristics for solving 2D Regular and Irregular Packing Problems. Ann. Oper. Res. 179 (1) (2010)
Eunice López-Camacho, Hugo Terashima-Marín, Peter Ross, Manuel Valenzuela-Rendón
Problem-state representations in a hyper-heuristic approach for the 2D irregular BPP. GECCO (2010)
Eunice López-Camacho, Hugo Terashima-Marín, Peter Ross
Defining a Problem-State Representation with Data Mining within a Hyper-heuristic Model Which Solves 2D Irregular Bin Packing Problems. IBERAMIA (2010)
José Carlos Ortiz-Bayliss, Ender Özcan, Andrew J. Parkes, Hugo Terashima-Marín
Mapping the performance of heuristics for Constraint Satisfaction. IEEE Congress on Evolutionary Computation (2010)
Santiago E. Conant-Pablos, Dulce J. Magaña-Lozano, Hugo Terashima-Marín
Pipelining Memetic Algorithms, Constraint Satisfaction, and Local Search for Course Timetabling. MICAI (2009)
José Abdón Ramírez-Ruiz, Manuel Valenzuela-Rendón, Hugo Terashima-Marín
uQFCS: QFCS with unfixed fuzzy sets in continuous multi-step environments with continuous vector actions. GECCO (2009)
José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Peter Ross, Jorge Iván Fuentes-Rosado, Manuel Valenzuela-Rendón
A neuro-evolutionary approach to produce general hyper-heuristics for the dynamic variable ordering in hard binary constraint satisfaction problems. GECCO (2009)
Hugo Terashima-Marín, José Carlos Ortiz-Bayliss, Peter Ross, Manuel Valenzuela-Rendón
Using Hyper-heuristics for the Dynamic Variable Ordering in Binary Constraint Satisfaction Problems. MICAI (2008)
Luis M. Fernandez-Carrasco, Hugo Terashima-Marín, Manuel Valenzuela-Rendón
On the possibility to design intelligent sensor systems after excitable media models: An agent-based simulation. SMC (2008)
José Abdón Ramírez-Ruiz, Manuel Valenzuela-Rendón, Hugo Terashima-Marín
QFCS: A Fuzzy LCS in Continuous Multi-step Environments with Continuous Vector Actions. PPSN (2008)
Hugo Terashima-Marín, José Carlos Ortiz-Bayliss, Peter Ross, Manuel Valenzuela-Rendón
Hyper-heuristics for the dynamic variable ordering in constraint satisfaction problems. GECCO (2008)
José Abdón Ramírez-Ruiz, Manuel Valenzuela-Rendón, Hugo Terashima-Marín
A new approach to fuzzy LCSs in two-dimensional continuous multistep environment with continuous vector actions. GECCO (2008)
Hugo Terashima-Marín, Cláudia J. Farías Zárate, Peter Ross, Manuel Valenzuela-Rendón
Comparing two models to generate hyper-heuristics for the 2d-regular bin-packing problem. GECCO (2007)
Carlos D. Toledo-Suárez, Manuel Valenzuela-Rendón, Hugo Terashima-Marín, Eduardo Uresti-Charre
On the relativity in the assessment of blind optimization algorithms and the problem-algorithm coevolution. GECCO (2007)
Rolando R. Hernández-Cisneros, Hugo Terashima-Marín, Santiago E. Conant-Pablos
Comparison of Class Separability, Forward Sequential Search and Genetic Algorithms for Feature Selection in the Classification of Individual and Clustered Microcalcifications in Digital Mammograms. ICIAR (2007)
Hugo Terashima-Marín, Cláudia J. Farías Zárate, Peter Ross, Manuel Valenzuela-Rendón
A GA-based method to produce generalized hyper-heuristics for the 2D-regular cutting stock problem. GECCO (2006)
Rolando R. Hernández-Cisneros, Hugo Terashima-Marín
Classification of Individual and Clustered Microcalcifications in Digital Mammograms Using Evolutionary Neural Networks. MICAI (2006)

Hugo Terashima-Marín.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Hugo Terashima-Marín