Santiago E. Conant-Pablos

24 papers B 9Journal 6Unranked 8
YearRankTypeTitle / Venue / Authors
2024 B conf
Beyond 'Novel' Metaphor-based Metaheuristics: An Interactive Algorithm Design Software.
CEC
Diego Acosta-Ugalde, Jorge M. Cruz-Duarte, Santiago E. Conant-Pablos, Jesús Guillermo Falcón-Cardona
2024 B conf
Harnessing Machine Learning for Reliable Weather Forecasting: Meteorological Impact on Sustainable Energy in Monterrey.
CEC
Gustavo de Jesús Machado-Guillén, Jorge M. Cruz-Duarte, Santiago E. Conant-Pablos, Katarzyna Filus
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
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
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
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 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 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 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
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
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
2014 — conf
Assembling Similar Tracking Approaches in Order to Strengthen Performance.
MCPR
Edgar Reyna-Ayala, Santiago E. Conant-Pablos, 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
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 — 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 — conf
Local Features Classification for Adaptive Tracking.
MICAI (1)
Alan I. Torres-Nogales, Santiago E. Conant-Pablos, 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
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
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
2004 — conf
A Method to Obtain Sensing Requirements in Robotic Assemblies by Geometric Reasoning.
MICAI
Santiago E. Conant-Pablos, Katsushi Ikeuchi, Horacio Martinez-Alfaro
2003 B conf
Sensing requirements for robotic assembly from an analysis of critical contact transitions.
SMC
Santiago E. Conant-Pablos, Horacio Martinez-Alfaro, Katsushi Ikeuchi