| A beginner's guide to tuning methods E Montero, MC Riff, B Neveu Applied Soft Computing 17, 39-51, 2014 | 111 | 2014 |
| A survey and classification of opposition-based metaheuristics N Rojas-Morales, MCR Rojas, EM Ureta Computers & Industrial Engineering 110, 424-435, 2017 | 73 | 2017 |
| A new algorithm for reducing metaheuristic design effort MC Riff, E Montero 2013 IEEE congress on evolutionary computation, 3283-3290, 2013 | 60 | 2013 |
| An overview of weighted and unconstrained scalarizing functions M Pescador-Rojas, R Hernández Gómez, E Montero, N Rojas-Morales, ... Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO …, 2017 | 50 | 2017 |
| A pso algorithm to solve a real course+ exam timetabling problem E Montero, MC Riff, L Altamirano International conference on swarm intelligence 24 (1), 2011 | 38 | 2011 |
| On-the-fly calibrating strategies for evolutionary algorithms E Montero, MC Riff Information Sciences 181 (3), 552-566, 2011 | 36 | 2011 |
| A milk transportation problem with milk collection centers and vehicle routing G Paredes-Belmar, E Montero, O Leonardini ISA transactions 122, 294-311, 2022 | 20 | 2022 |
| Modelling parameter configuration spaces with local optima networks G Treimun-Costa, E Montero, G Ochoa, N Rojas-Morales Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 751-759, 2020 | 20 | 2020 |
| Tuners review: How crucial are set-up values to find effective parameter values? E Montero, MC Riff, N Rojas-Morales Engineering Applications of Artificial Intelligence 76, 108-118, 2018 | 17 | 2018 |
| A Co-Evolutionary Scheme for Multi-Objective Evolutionary Algorithms Based on -Dominance A Menchaca-Méndez, E Montero, LM Antonio, S Zapotecas-Martínez, ... IEEE Access 7, 18267-18283, 2019 | 15 | 2019 |
| An improved S-metric selection evolutionary multi-objective algorithm with adaptive resource allocation A Menchaca-Méndez, E Montero, S Zapotecas-Martínez IEEE Access 6, 63382-63401, 2018 | 10 | 2018 |
| Towards a method for automatic algorithm configuration: a design evaluation using tuners E Montero, MC Riff Parallel Problem Solving from Nature–PPSN XIII: 13th International …, 2014 | 10 | 2014 |
| A graph-based immune-inspired constraint satisfaction search MC Riff, M Zúñiga, E Montero Neural Computing and Applications 19 (8), 1133-1142, 2010 | 10 | 2010 |
| An algorithm to compute time-balanced clusters for the delivery logistics problem A Menchaca-Méndez, E Montero, M Flores-Garrido, L Miguel-Antonio Engineering Applications of Artificial Intelligence 111, 104795, 2022 | 9 | 2022 |
| A Prize Collecting problem applied to a Real Milk Collection problem in Chile E Montero, D Canales, G Paredes-Belmar, R Soto 2019 IEEE Congress on Evolutionary Computation (CEC), 1415-1422, 2019 | 9 | 2019 |
| A cooperative opposite-inspired learning strategy for ant-based algorithms N Rojas-Morales, MC Riff, CA Coello Coello, E Montero Swarm Intelligence: 11th International Conference, ANTS 2018, Rome, Italy …, 2018 | 9 | 2018 |
| Are state-of-the-art fine-tuning algorithms able to detect a dummy parameter? E Montero, MC Riff, L Pérez-Caceres, CA Coello Coello International Conference on Parallel Problem Solving from Nature, 306-315, 2012 | 9 | 2012 |
| An evaluation of off-line calibration techniques for evolutionary algorithms E Montero, MC Riff, B Neveu Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010 | 9 | 2010 |
| A bi-objective time-dependent vehicle routing problem with delivery failure probabilities F Menares, E Montero, G Paredes-Belmar, A Bronfman Computers & Industrial Engineering 185, 109601, 2023 | 8 | 2023 |
| Opposition-inspired synergy in sub-colonies of ants: The case of focused ant solver N Rojas-Morales, MC Riff, E Montero Knowledge-Based Systems 229, 107341, 2021 | 8 | 2021 |