| Selecting meta-heuristics for solving vehicle routing problems with time windows via meta-learning AE Gutierrez-Rodríguez, SE Conant-Pablos, JC Ortiz-Bayliss, ... Expert Systems with Applications 118, 470-481, 2019 | 67 | 2019 |
| Hyper-heuristics to customise metaheuristics for continuous optimisation JM Cruz-Duarte, I Amaya, JC Ortiz-Bayliss, SE Conant-Pablos, ... Swarm and Evolutionary Computation 66, 100935, 2021 | 58 | 2021 |
| Understanding the structure of bin packing problems through principal component analysis E López-Camacho, H Terashima-Marín, G Ochoa, SE Conant-Pablos International Journal of Production Economics 145 (2), 488-499, 2013 | 55 | 2013 |
| A simulated annealing hyper-heuristic for job shop scheduling problems F Garza-Santisteban, R Sánchez-Pámanes, LA Puente-Rodríguez, ... 2019 IEEE congress on evolutionary computation (CEC), 57-64, 2019 | 51 | 2019 |
| Evolutionary-based tailoring of synthetic instances for the Knapsack problem LF Plata-González, I Amaya, JC Ortiz-Bayliss, SE Conant-Pablos, ... Soft Computing 23 (23), 12711-12728, 2019 | 34 | 2019 |
| Learning vector quantization for variable ordering in constraint satisfaction problems JC Ortiz-Bayliss, H Terashima-Marín, SE Conant-Pablos Pattern Recognition Letters 34 (4), 423-432, 2013 | 31 | 2013 |
| Combine and conquer: an evolutionary hyper-heuristic approach for solving constraint satisfaction problems JC Ortiz-Bayliss, H Terashima-Marín, SE Conant-Pablos Artificial Intelligence Review 46 (3), 327-349, 2016 | 28 | 2016 |
| A primary study on hyper-heuristics to customise metaheuristics for continuous optimisation JM Cruz-Duarte, I Amaya, JC Ortiz-Bayliss, SE Conant-Pablos, ... 2020 IEEE congress on evolutionary computation (CEC), 1-8, 2020 | 27 | 2020 |
| Grammar-based generation of variable-selection heuristics for constraint satisfaction problems A Sosa-Ascencio, G Ochoa, H Terashima-Marin, SE Conant-Pablos Genetic Programming and Evolvable Machines 17, 119-144, 2016 | 27 | 2016 |
| Enhancing selection hyper-heuristics via feature transformations I Amaya, JC Ortiz-Bayliss, A Rosales-Perez, AE Gutierrez-Rodriguez, ... IEEE Computational Intelligence Magazine 13 (2), 30-41, 2018 | 26 | 2018 |
| Detection of violent behavior using neural networks and pose estimation KB Kwan-Loo, JC Ortíz-Bayliss, SE Conant-Pablos, H Terashima-Marín, ... IEEE Access 10, 86339-86352, 2022 | 24 | 2022 |
| Hyper-heuristics reversed: Learning to combine solvers by evolving instances I Amaya, JC Ortiz-Bayliss, S Conant-Pablos, H Terashima-Marín 2019 IEEE Congress on Evolutionary Computation (CEC), 1790-1797, 2019 | 18 | 2019 |
| Pipelining memetic algorithms, constraint satisfaction, and local search for course timetabling SE Conant-Pablos, DJ Magaña-Lozano, H Terashima-Marín MICAI 2009: Advances in Artificial Intelligence: 8th Mexican International …, 2009 | 17 | 2009 |
| A feature-independent hyper-heuristic approach for solving the knapsack problem X Sánchez-Díaz, JC Ortiz-Bayliss, I Amaya, JM Cruz-Duarte, ... Applied Sciences 11 (21), 10209, 2021 | 15 | 2021 |
| Enhancing hyperheuristics for the knapsack problem through fuzzy logic F Olivas, I Amaya, JC Ortiz-Bayliss, SE Conant-Pablos, ... Computational Intelligence and Neuroscience 2021 (1), 8834324, 2021 | 12 | 2021 |
| A fuzzy hyper-heuristic approach for the 0-1 knapsack problem F Olivas, I Amaya, JC Ortiz-Bayliss, SE Conant-Pablos, ... 2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020 | 12 | 2020 |
| Addressing the algorithm selection problem through an attention-based meta-learner approach E Díaz de León-Hicks, SE Conant-Pablos, JC Ortiz-Bayliss, ... Applied Sciences 13 (7), 4601, 2023 | 11 | 2023 |
| Exploring heuristic interactions in constraint satisfaction problems: A closer look at the hyper-heuristic space JC Ortiz-Bayliss, H Terashima-Marín, E Özcan, AJ Parkes, ... 2013 IEEE Congress on Evolutionary Computation, 3307-3314, 2013 | 11 | 2013 |
| Evolution of neural networks topologies and learning parameters to produce hyper-heuristics for constraint satisfaction problems JC Ortiz-Bayliss, H Terashima-Marín, P Ross, SE Conant-Pablos Proceedings of the 13th annual conference companion on Genetic and …, 2011 | 11 | 2011 |
| A general framework based on machine learning for algorithm selection in constraint satisfaction problems JC Ortiz-Bayliss, I Amaya, JM Cruz-Duarte, AE Gutierrez-Rodriguez, ... Applied Sciences 11 (6), 2749, 2021 | 10 | 2021 |
