Hugo Terashima-Marín

134 papers A 15B 23C 1Journal 47Unranked 43
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multi-objective hyper-heuristics: a survey.
Artif. Intell. Rev.
Julio Juárez, Hugo Terashima-Marín, Carlos A. Coello Coello
2025 A conf
Automatic Design of Specialized Variation Operators for the Multi-Objective Quadratic Assignment Problem.
GECCO
Adrián Isaí Morales-Paredes, Julio Juárez, Jesús Guillermo Falcón-Cardona, Hugo Terashima-Marín, Carlos A. Coello Coello
2025 J jnl
Digital Twin technology for multimodal-based smart mobility using hybrid Co-ABC optimization based deep CNN.
Clust. Comput.
Mohd Anas Wajid, Mohammad Saif Wajid, Aasim Zafar, Hugo Terashima-Marín
2025 J jnl
Machine Learning, Missing Values, and Algorithm Selectors: The Untold Story.
Computación y Sistemas (CyS)
Anna Karen Gárate-Escamilla, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín
2025 A conf
Reference Point Specification in Greedy Inclusion Hypervolume-based Subset Selection: A Study on Two Objectives.
GECCO
Adrián Isaí Morales-Paredes, Jesús Guillermo Falcón-Cardona, Julio Juárez, Hugo Terashima-Marín, Carlos A. Coello Coello
2025 J jnl
Selection hyper-heuristics and job shop scheduling problems: How does instance size influence performance?
J. Sched.
Fernando Garza-Santisteban, Jorge Mario Cruz-Duarte, Ivan Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín
2025 J jnl
Squacc BiLSTM: a framework for dense video captioning using neural knowledge graph and deep learning.
Signal Image Video Process.
Mohammad Saif Wajid, Hugo Terashima-Marín, Peyman Najafirad, Santiago Enrique Conant-Pablos, Mohd Anas Wajid
2024 J jnl
Analysing hyper-heuristics based on Neural Networks for the automatic design of population-based metaheuristics in continuous optimisation problems.
Swarm Evol. Comput.
Jose M. Tapia-Avitia, Jorge M. Cruz-Duarte, Ivan Amaya, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Nelishia Pillay
2024 J jnl
Automatic Selection of Machine Learning Models for Armed People Identification.
IEEE Access
Alonso Javier Amado-Garfias, Santiago Enrique Conant-Pablos, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín
2024 B conf
Exploring Generative AIs as Population Variation Operator in Multi-objective Optimization Problems.
CEC
Gerardo Ibarra-Vázquez, Hugo Terashima-Marín, Carlos A. Coello Coello
2024 J jnl
Improving Armed People Detection on Video Surveillance Through Heuristics and Machine Learning Models.
IEEE Access
Alonso Javier Amado-Garfias, Santiago Enrique Conant-Pablos, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín
2024 — conf
Missing Data and Their Effect on Algorithm Selection for the Bin Packing Problem.
MCPR
José Carlos Ortiz-Bayliss, Anna Karen Gárate-Escamilla, Hugo Terashima-Marín
2024 J jnl
Navigating the Pitfalls: Analyzing the Behavior of LLMs as a Coding Assistant for Computer Science Students - A Systematic Review of the Literature.
IEEE Access
Farman Ali Pirzado, Awais Ahmed, Román A. Mendoza-Urdiales, Hugo Terashima-Marín
2024 B conf
Recombination Operators for the Multi-Objective Team Formation Problem in Social Networks.
CEC
Julio Juárez, Carlos A. Brizuela, Hugo Terashima-Marín, Carlos A. Coello Coello
2024 B conf
Tailoring Metaheuristics for Designing Thermodynamic-Optimal Cooling Devices for Microelectronic Thermal Management Applications.
CEC
Guillermo Pérez-Espinosa, Jorge M. Cruz-Duarte, Ivan Amaya, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Nelishia Pillay
2023 J jnl
Neutrosophic-CNN-based image and text fusion for multimodal classification.
J. Intell. Fuzzy Syst.
Mohd Anas Wajid, Aasim Zafar, Hugo Terashima-Marín, Mohammad Saif Wajid
2022 B conf
A Primary Study on Hyper-Heuristics Powered by Artificial Neural Networks for Customising Population-based Metaheuristics in Continuous Optimisation Problems.
CEC
Jose M. Tapia-Avitia, Jorge M. Cruz-Duarte, Ivan Amaya, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Nelishia Pillay
2022 J jnl
COVID-WideNet - A capsule network for COVID-19 detection.
Appl. Soft Comput.
P. K. Gupta, Mohammad Khubeb Siddiqui, Xiaodi Huang, Rubén Morales-Menéndez, Harsh Panwar, Hugo Terashima-Marín, Mohammad Saif Wajid
2022 J jnl
Combining Constructive and Perturbative Deep Learning Algorithms for the Capacitated Vehicle Routing Problem.
CoRR
Roberto García-Torres, Alitzel Adriana Macias-Infante, Santiago Enrique Conant-Pablos, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín
2022 J jnl
Correction: Violence detection approach based on cloud data and Neutrosophic cognitive maps.
J. Cloud Comput.
Mohammad Saif Wajid, Hugo Terashima-Marín, Peyman Najafirad, Mohd Anas Wajid
2022 J jnl
Detection of Violent Behavior Using Neural Networks and Pose Estimation.
IEEE Access
Kevin B. Kwan-Loo, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Peyman Najafirad
2022 J jnl
Violence Detection Approach based on Cloud Data and Neutrosophic Cognitive Maps.
J. Cloud Comput.
Mohammad Saif Wajid, Hugo Terashima-Marín, Peyman Najafirad, Mohd Anas Wajid
2021 J jnl
A Straightforward Framework For Video Retrieval Using CLIP.
CoRR
Jesús Andrés Portillo-Quintero, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín
2021 — conf
A Straightforward Framework for Video Retrieval Using CLIP.
MCPR
Jesús Andrés Portillo-Quintero, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín
2021 J jnl
Algorithm selection for solving educational timetabling problems.
Expert Syst. Appl.
Felipe de la Rosa-Rivera, José I. Nuñez-Varela, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín
2021 J jnl
Criminal Intention Detection at Early Stages of Shoplifting Cases by Using 3D Convolutional Neural Networks.
Comput.
Guillermo A. Martínez-Mascorro, José R. Abreu-Pederzini, José Carlos Ortiz-Bayliss, Angel Garcia-Collantes, Hugo Terashima-Marín
2021 J jnl
Enhancing Hyperheuristics for the Knapsack Problem through Fuzzy Logic.
Comput. Intell. Neurosci.
Frumen Olivas, Ivan Amaya, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín
2021 J jnl
Hyper-Heuristics to customise metaheuristics for continuous optimisation.
Swarm Evol. Comput.
Jorge M. Cruz-Duarte, Ivan Amaya, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Yong Shi
2021 J jnl
Improving Deep Interactive Evolution with a Style-Based Generator for Artistic Expression and Creative Exploration.
Entropy
Carlos Tejeda-Ocampo, Armando López-Cuevas, Hugo Terashima-Marín
2020 B conf
A Fuzzy Hyper-Heuristic Approach for the 0-1 Knapsack Problem.
CEC
Frumen Olivas, Ivan Amaya, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín
2020 B conf
A Preliminary Study on Feature-independent Hyper-heuristics for the 0/1 Knapsack Problem.
CEC
Xavier Sánchez, José Carlos Ortiz-Bayliss, Ivan Amaya, Jorge M. Cruz-Duarte, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín
2020 B conf
A Primary Study on Hyper-Heuristics to Customise Metaheuristics for Continuous optimisation.
CEC
Jorge M. Cruz-Duarte, Ivan Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín
2020 J jnl
A Systematic Review of Hyper-Heuristics on Combinatorial Optimization Problems.
IEEE Access
Melissa Sánchez, Jorge M. Cruz-Duarte, José Carlos Ortiz-Bayliss, Hector G. Ceballos, Hugo Terashima-Marín, Ivan Amaya
2020 J jnl
CUSTOMHyS: Customising Optimisation Metaheuristics via Hyper-heuristic Search.
SoftwareX
Jorge M. Cruz-Duarte, Ivan Amaya, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Yong Shi
2020 J jnl
Detecting Suspicious Behavior: How to Deal with Visual Similarity through Neural Networks.
CoRR
Guillermo A. Martínez-Mascorro, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín
2020 — conf
Discovering Action Regions for Solving the Bin Packing Problem through Hyper-heuristics.
SSCI
Arturo Silva-Gálvez, Jorge Orozco-Sanchez, Erick Lara-Cárdenas, José Carlos Ortiz-Bayliss, Ivan Amaya, Jorge M. Cruz-Duarte, Hugo Terashima-Marín
2020 B conf
Exploring Problem State Transformations to Enhance Hyper-heuristics for the Job-Shop Scheduling Problem.
CEC
Fernando Garza-Santisteban, Ivan Amaya, Jorge Cruz, José Carlos Ortiz-Bayliss, Ender Özcan, Hugo Terashima-Marín
2020 — conf
Exploring Reward-based Hyper-heuristics for the Job-shop Scheduling Problem.
SSCI
Erick Lara-Cárdenas, Arturo Silva-Gálvez, José Carlos Ortiz-Bayliss, Ivan Amaya, Jorge M. Cruz-Duarte, Hugo Terashima-Marín
2020 J jnl
Learning from Few Samples: A Survey.
CoRR
Nihar Bendre, Hugo Terashima-Marín, Peyman Najafirad
2020 J jnl
Suspicious Behavior Detection on Shoplifting Cases for Crime Prevention by Using 3D Convolutional Neural Networks.
CoRR
Guillermo A. Martínez-Mascorro, José R. Abreu-Pederzini, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín
2019 B conf
A Simulated Annealing Hyper-heuristic for Job Shop Scheduling Problems.
CEC
Fernando Garza-Santisteban, Roberto Sánchez-Pámanes, Luis Antonio Puente Rodríguez, Ivan Amaya, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín
2019 J jnl
Evolutionary-based tailoring of synthetic instances for the Knapsack problem.
Soft Comput.
Luis Fernando Plata-González, Ivan Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello
2019 B conf
Hyper-heuristics Reversed: Learning to Combine Solvers by Evolving Instances.
CEC
Ivan Amaya, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín
2019 — conf
Influence of Instance Size on Selection Hyper-Heuristics for Job Shop Scheduling Problems.
SSCI
Fernando Garza-Santisteban, Jorge M. Cruz-Duarte, Ivan Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín
2019 J jnl
Selecting meta-heuristics for solving vehicle routing problems with time windows via meta-learning.
Expert Syst. Appl.
Andrés Eduardo Gutiérrez-Rodríguez, Santiago E. Conant-Pablos, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín
2018 — conf
An Experimental Study on Ant Colony Optimization Hyper-Heuristics for Solving the Knapsack Problem.
MCPR
Bronson Duhart, Fernando Camarena, José Carlos Ortiz-Bayliss, Ivan Amaya, Hugo Terashima-Marín
2018 J jnl
Cluster validation using an ensemble of supervised classifiers.
Knowl. Based Syst.
Jorge Rodríguez-Ruiz, Miguel Angel Medina-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Raúl Monroy, Hugo Terashima-Marín
2018 A conf
Cooperative multi-objective evolutionary support vector machines for multiclass problems.
GECCO
Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Salvador García, Hugo Terashima-Marín, Carlos A. Coello Coello, Francisco Herrera
2018 J jnl
Enhancing Selection Hyper-Heuristics via Feature Transformations.
IEEE Comput. Intell. Mag.
Ivan Amaya, José Carlos Ortiz-Bayliss, Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello
2018 J jnl
Enhancing Selection Hyper-heuristics via Feature Transformations.
CoRR
Ivan Amaya, José Carlos Ortiz-Bayliss, Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello
2018 J jnl
Evolutionary hyper-heuristics for tackling bi-objective 2D bin packing problems.
Genet. Program. Evolvable Mach.
Juan-Carlos Gomez, Hugo Terashima-Marín
2018 J jnl
Exploring the Impact of Early Decisions in Variable Ordering for Constraint Satisfaction Problems.
Comput. Intell. Neurosci.
José Carlos Ortiz-Bayliss, Ivan Amaya, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín
2018 J jnl
MC2ESVM: Multiclass Classification Based on Cooperative Evolution of Support Vector Machines.
IEEE Comput. Intell. Mag.
Alejandro Rosales-Pérez, Salvador García, Hugo Terashima-Marín, Carlos A. Coello Coello, Francisco Herrera
2018 — conf
Tailoring Instances of the 1D Bin Packing Problem for Assessing Strengths and Weaknesses of Its Solvers.
PPSN (2)
Ivan Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello
2017 — conf
A Quartile-Based Hyper-heuristic for Solving the 0/1 Knapsack Problem.
MICAI (1)
Fernando Gómez-Herrera, Rodolfo A. Ramirez-Valenzuela, José Carlos Ortiz-Bayliss, Ivan Amaya, Hugo Terashima-Marín
2017 B conf
Applying automatic heuristic-filtering to improve hyper-heuristic performance.
CEC
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
2017 B conf
Evolutionary multilabel hyper-heuristic design.
CEC
Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Carlos A. Coello Coello
2017 B conf
Improving hyper-heuristic performance through feature transformation.
CEC
Ivan Amaya, José Carlos Ortiz-Bayliss, Andrés Eduardo Gutiérrez-Rodríguez, Hugo Terashima-Marín, Carlos A. Coello Coello
2016 J jnl
A Neuro-evolutionary Hyper-heuristic Approach for Constraint Satisfaction Problems.
Cogn. Comput.
José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos
2016 J jnl
Combine and conquer: an evolutionary hyper-heuristic approach for solving constraint satisfaction problems.
Artif. Intell. Rev.
José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos
2016 J jnl
Experimental Matching of Instances to Heuristics for Constraint Satisfaction Problems.
Comput. Intell. Neurosci.
Jorge Humberto Moreno-Scott, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos
2016 — conf
Grammar-based Selection Hyper-heuristics for Solving Irregular Bin Packing Problems.
GECCO (Companion)
Alejandro Sosa-Ascencio, Hugo Terashima-Marín, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos
2016 J jnl
Grammar-based generation of variable-selection heuristics for constraint satisfaction problems.
Genet. Program. Evolvable Mach.
Alejandro Sosa-Ascencio, Gabriela Ochoa, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos
2016 — conf
Selection and Generation Hyper-heuristics for Solving the Vehicle Routing Problem with Time Windows.
GECCO (Companion)
David Espinoza-Nevárez, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Gustavo Gatica
2015 — conf
A Recursive Split, Solve, and Join Strategy for Solving Constraint Satisfaction Problems.
MICAI (Special Sessions)
José Carlos Ortiz-Bayliss, Dulce Jaqueline Magaña-Lozano, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos
2015 — conf
Lifelong Learning Selection Hyper-heuristics for Constraint Satisfaction Problems.
MICAI (1)
José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos
2014 J jnl
A unified hyper-heuristic framework for solving bin packing problems.
Expert Syst. Appl.
Eunice López-Camacho, Hugo Terashima-Marín, Peter Ross, Gabriela Ochoa
2014 — conf
Assembling Similar Tracking Approaches in Order to Strengthen Performance.
MCPR
Edgar Reyna-Ayala, Santiago E. Conant-Pablos, Hugo Terashima-Marín
2014 — ch.
Generic Memetic Algorithm for Course Timetabling ITC2007.
Recent Advances on Hybrid Approaches for Designing Intelligent Systems
Jorge Alberto Soria-Alcaraz, Juan Martín Carpio, Héctor Puga, Patricia Melin, Hugo Terashima-Marín, Laura Cruz-Reyes, Marco Aurelio Sotelo-Figueroa
2013 — conf
A Supervised Learning Approach to Construct Hyper-heuristics for Constraint Satisfaction.
MCPR
José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos
2013 — conf
A genetic programming hyper-heuristic: Turning features into heuristics for constraint satisfaction.
UKCI
José Carlos Ortiz-Bayliss, Ender Ozcan, Andrew J. Parkes, Hugo Terashima-Marín
2013 J jnl
An effective heuristic for the two-dimensional irregular bin packing problem.
Ann. Oper. Res.
Eunice López-Camacho, Gabriela Ochoa, Hugo Terashima-Marín, Edmund K. Burke
2013 — conf
Automatic Generation of Heuristics for Constraint Satisfaction Problems.
NICSO
José Carlos Ortiz-Bayliss, Jorge Humberto Moreno-Scott, Hugo Terashima-Marín
2013 — conf
Branching Schemes and Variable Ordering Heuristics for Constraint Satisfaction Problems: Is There Something to Learn?
NICSO
José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos
2013 B conf
Evolving feature selection for characterizing and solving the 1D and 2D bin packing problem.
IEEE Congress on Evolutionary Computation
Eunice López-Camacho, Hugo Terashima-Marín
2013 B conf
Exploring heuristic interactions in constraint satisfaction problems: A closer look at the hyper-heuristic space.
IEEE Congress on Evolutionary Computation
José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Ender Ozcan, Andrew J. Parkes, Santiago E. Conant-Pablos
2013 B conf
Grammar-based Genetic Programming for evolving variable ordering heuristics.
IEEE Congress on Evolutionary Computation
Alejandro Sosa-Ascencio, Hugo Terashima-Marín, Manuel Valenzuela-Rendón
2013 — conf
Homogeneous Population Solving the Minimal Perturbation Problem in Dynamic Scheduling of Surgeries.
MICAI (1)
Adriana Perez-Lopez, Rosario Baltazar, Juan Martín Carpio, Hugo Terashima-Marín, Dulce J. Magaña-Lozano, Héctor J. Puga
2013 J jnl
Learning vector quantization for variable ordering in constraint satisfaction problems.
Pattern Recognit. Lett.
José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos
2013 — ch.
Methodology of Design: A Novel Generic Approach Applied to the Course Timetabling Problem.
Soft Computing Applications in Optimization, Control, and Recognition
Jorge Alberto Soria-Alcaraz, Juan Martín Carpio, Héctor Puga, Hugo Terashima-Marín, Laura Cruz-Reyes, Marco Aurelio Sotelo-Figueroa
2013 B conf
Using learning classifier systems to design selective hyper-heuristics for constraint satisfaction problems.
IEEE Congress on Evolutionary Computation
José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago E. Conant-Pablos
2012 A conf
Challenging heuristics: evolving binary constraint satisfaction problems.
GECCO
Jorge Humberto Moreno-Scott, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos
2012 J jnl
Construyendo híper-heurísticas generales para problemas de corte multi-objetivo.
Computación y Sistemas
Juan-Carlos Gomez, Hugo Terashima-Marín
2012 — conf
Cooperative Coevolution of Automatically Defined Functions with Gene Expression Programming.
MICAI (Special Sessions)
Alejandro Sosa-Ascencio, Manuel Valenzuela-Rendón, Hugo Terashima-Marín
2012 — conf
Exploring the Solution of Course Timetabling Problems through Heuristic Segmentation.
MICAI (1)
Dulce J. Magaña-Lozano, Santiago E. Conant-Pablos, Hugo Terashima-Marín
2012 A conf
Improving the performance of vector hyper-heuristics through local search.
GECCO
José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos, Ender Özcan, Andrew J. Parkes
2012 — conf
Local Features Classification for Adaptive Tracking.
MICAI (1)
Alan I. Torres-Nogales, Santiago E. Conant-Pablos, Hugo Terashima-Marín
2012 — conf
The impact of the bin packing problem structure in hyper-heuristic performance.
GECCO (Companion)
Eunice López-Camacho, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos
2011 — conf
A hyper-heuristic for solving one and two-dimensional bin packing problems.
GECCO (Companion)
Eunice López-Camacho, Hugo Terashima-Marín, Peter Ross
2011 — ch.
Academic Timetabling Design Using Hyper-Heuristics.
Soft Computing for Intelligent Control and Mobile Robotics
Jorge Alberto Soria-Alcaraz, Juan Martín Carpio Valadez, Hugo Terashima-Marín
2011 — conf
Evolution of neural networks topologies and learning parameters to produce hyper-heuristics for constraint satisfaction problems.
GECCO (Companion)
José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Peter Ross, Santiago Enrique Conant-Pablos
2011 — conf
Evolving solutions of mixed-model assembly line balancing problems by chaining heuristic optimization methods: track: evolutionary combinatorial optimization and meta-heuristics.
GECCO (Companion)
Santiago Enrique Conant-Pablos, Halley Jarumy Ferrer-Soriano, Hugo Terashima-Marín
2011 — ch.
Feature Selection for the Classification of Microcalcifications in Digital Mammograms using Genetic Algorithms, Sequential Search and Class Separability.
Genetic and Evolutionary Computation: Medical Applications
Santiago E. Conant-Pablos, Rolando R. Hernández-Cisneros, Hugo Terashima-Marín
2011 — conf
Neural Networks to Guide the Selection of Heuristics within Constraint Satisfaction Problems.
MCPR
José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago E. Conant-Pablos
2011 — conf
On the idea of evolving decision matrix hyper-heuristics for solving constraint satisfaction problems.
GECCO (Companion)
José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Ender Özcan, Andrew J. Parkes
2011 — conf
Variable and Value Ordering Decision Matrix Hyper-heuristics: A Local Improvement Approach.
MICAI (1)
José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Ender Özcan, Andrew J. Parkes, Santiago Enrique Conant-Pablos
2010 — conf
Approximating Multi-Objective Hyper-Heuristics for Solving 2D Irregular Cutting Stock Problems.
MICAI (2)
Juan-Carlos Gomez, Hugo Terashima-Marín
2010 — conf
Defining a Problem-State Representation with Data Mining within a Hyper-heuristic Model Which Solves 2D Irregular Bin Packing Problems.
IBERAMIA
Eunice López-Camacho, Hugo Terashima-Marín, Peter Ross
2010 J jnl
Generalized hyper-heuristics for solving 2D Regular and Irregular Packing Problems.
Ann. Oper. Res.
Hugo Terashima-Marín, Peter Ross, Cláudia J. Farías Zárate, Eunice López-Camacho, Manuel Valenzuela-Rendón
2010 B conf
Mapping the performance of heuristics for Constraint Satisfaction.
IEEE Congress on Evolutionary Computation
José Carlos Ortiz-Bayliss, Ender Özcan, Andrew J. Parkes, Hugo Terashima-Marín
2010 A conf
Problem-state representations in a hyper-heuristic approach for the 2D irregular BPP.
GECCO
Eunice López-Camacho, Hugo Terashima-Marín, Peter Ross, Manuel Valenzuela-Rendón
2009 A conf
A neuro-evolutionary approach to produce general hyper-heuristics for the dynamic variable ordering in hard binary constraint satisfaction problems.
GECCO
José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Peter Ross, Jorge Iván Fuentes-Rosado, Manuel Valenzuela-Rendón
2009 — conf
Pipelining Memetic Algorithms, Constraint Satisfaction, and Local Search for Course Timetabling.
MICAI
Santiago E. Conant-Pablos, Dulce J. Magaña-Lozano, Hugo Terashima-Marín
2009 A conf
uQFCS: QFCS with unfixed fuzzy sets in continuous multi-step environments with continuous vector actions.
GECCO
José Abdón Ramírez-Ruiz, Manuel Valenzuela-Rendón, Hugo Terashima-Marín
2008 A conf
A new approach to fuzzy LCSs in two-dimensional continuous multistep environment with continuous vector actions.
GECCO
José Abdón Ramírez-Ruiz, Manuel Valenzuela-Rendón, Hugo Terashima-Marín
2008 A conf
Hyper-heuristics for the dynamic variable ordering in constraint satisfaction problems.
GECCO
Hugo Terashima-Marín, José Carlos Ortiz-Bayliss, Peter Ross, Manuel Valenzuela-Rendón
2008 B conf
On the possibility to design intelligent sensor systems after excitable media models: An agent-based simulation.
SMC
Luis M. Fernández-Carrasco, Hugo Terashima-Marín, Manuel Valenzuela-Rendón
2008 A conf
QFCS: A Fuzzy LCS in Continuous Multi-step Environments with Continuous Vector Actions.
PPSN
José Abdón Ramírez-Ruiz, Manuel Valenzuela-Rendón, Hugo Terashima-Marín
2008 J jnl
Self-healing and Self-protecting Computing Systems: In the Search of Autonomic Computing.
Res. Comput. Sci.
Hugo Terashima-Marín, Luis M. Fernández-Carrasco, Manuel Valenzuela-Rendón
2008 — conf
Using Hyper-heuristics for the Dynamic Variable Ordering in Binary Constraint Satisfaction Problems.
MICAI
Hugo Terashima-Marín, José Carlos Ortiz-Bayliss, Peter Ross, Manuel Valenzuela-Rendón
2007 J jnl
A First Approach to Understanding the Anomalies on My PC.
Res. Comput. Sci.
Hugo Terashima-Marín, Luis M. Fernandez-Carrasco, Manuel Valenzuela-Rendón
2007 A conf
Comparing two models to generate hyper-heuristics for the 2d-regular bin-packing problem.
GECCO
Hugo Terashima-Marín, Cláudia J. Farías Zárate, Peter Ross, Manuel Valenzuela-Rendón
2007 — conf
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
Rolando R. Hernández-Cisneros, Hugo Terashima-Marín, Santiago E. Conant-Pablos
2007 A conf
On the relativity in the assessment of blind optimization algorithms and the problem-algorithm coevolution.
GECCO
Carlos D. Toledo-Suárez, Manuel Valenzuela-Rendón, Hugo Terashima-Marín, Eduardo Uresti-Charre
2006 A conf
A GA-based method to produce generalized hyper-heuristics for the 2D-regular cutting stock problem.
GECCO
Hugo Terashima-Marín, Cláudia J. Farías Zárate, Peter Ross, Manuel Valenzuela-Rendón
2006 — conf
Assessing the Value of Future and Present Options in Real-Time Planning.
IBERAMIA-SBIA
Emmanuel Martínez, Ramón F. Brena, Hugo Terashima-Marín
2006 — conf
Classification of Individual and Clustered Microcalcifications in Digital Mammograms Using Evolutionary Neural Networks.
MICAI
Rolando R. Hernández-Cisneros, Hugo Terashima-Marín
2006 B conf
Evolutionary Neural Networks Applied To The Classification Of Microcalcification Clusters In Digital Mammograms.
IEEE Congress on Evolutionary Computation
Rolando R. Hernández-Cisneros, Hugo Terashima-Marín
2006 — conf
Two-Phase GA-Based Model to Learn Generalized Hyper-heuristics for the 2D-Cutting Stock Problem.
IBERAMIA-SBIA
Hugo Terashima-Marín, Cláudia J. Farías Zárate, Peter Ross, Manuel Valenzuela-Rendón
2005 — conf
A Deterministic Alternative to
MICAI
Manuel Valenzuela-Rendón, Horacio Martinez-Alfaro, Hugo Terashima-Marín
2005 — conf
Building Hyper-heuristics Through Ant Colony Optimization for the 2D Bin Packing Problem.
KES (4)
Alberto Cuesta-Cañada, Leonardo Garrido, Hugo Terashima-Marín
2005 — conf
Detection of Microcalcification Clusters in Mammograms Using a Difference of Optimized Gaussian Filters.
ICIAR
Samuel Oporto-Díaz, Rolando R. Hernández-Cisneros, Hugo Terashima-Marín
2005 B conf
Forming hyper-heuristics with GAs when solving 2D-regular cutting stock problems.
Congress on Evolutionary Computation
Hugo Terashima-Marín, Armando Moran-Saavedra, Peter Ross
2005 J jnl
Genetic Algorithms for Dynamic Variable Ordering in Constraint Satisfaction Problems.
Res. Comput. Sci.
Hugo Terashima-Marín, Manuel Valenzuela-Rendón, René de la Calleja-Manzanedo
2005 A conf
Hyper-heuristics and classifier systems for solving 2D-regular cutting stock problems.
GECCO
Hugo Terashima-Marín, E. J. Flores-Álvarez, Peter Ross
2005 — ed.
MICAI 2005: Advances in Artificial Intelligence, 4th Mexican International Conference on Artificial Intelligence, Monterrey, Mexico, November 14-18, 2005, Proceedings
MICAI
Alexander F. Gelbukh, Alvaro de Albornoz, Hugo Terashima-Marín
2005 — conf
Scheduling Transportation Events with Grouping Genetic Algorithms and the Heuristic DJD.
MICAI
Hugo Terashima-Marín, Juan Manuel Tavernier-Deloya, Manuel Valenzuela-Rendón
2004 — conf
Adaptive Penalty Weights When Solving Congress Timetabling.
IBERAMIA
Daniel Ángel Huerta-Amante, Hugo Terashima-Marín
2004 — conf
Stability Analysis for Dynamic Constraint Satisfaction Problems.
MICAI
Manuel Iván Angles-Domínguez, Hugo Terashima-Marín
2003 J jnl
Análisis de estabilidad para problemas dinámicos de satisfacción de restricciones.
Res. Comput. Sci.
Hugo Terashima-Marín, Manuel Iván Angles-Domínguez
2002 — conf
Optimizing Weight and Torque of Squirrel-Cage Induction Motors Using Genetic Algorithms.
GECCO Late Breaking Papers
Sergio Daniel Montaño-Marañón, Hugo Terashima-Marín
1999 B conf
Application of the hardness theory when solving the timetabling problem with genetic algorithms.
CEC
Hugo Terashima-Marín, Peter Ross, Manuel Valenzuela-Rendón
1999 B conf
Clique-based crossover for solving the timetabling problem with GAs.
CEC
Hugo Terashima-Marín, Peter Ross, Manuel Valenzuela-Rendón
1995 C conf
The Phase-Transition Niche for Evolutionary Algorithms in Timetabling.
PATAT
Peter Ross, David Corne, Hugo Terashima-Marín