A beginner's guide to tuning methods E Montero, MC Riff, B Neveu
Applied Soft Computing 17, 39-51, 2014
110 2014 A survey and classification of opposition-based metaheuristics N Rojas-Morales, MCR Rojas, EM Ureta
Computers & Industrial Engineering 110, 424-435, 2017
72 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
37 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
19 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
19 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 A Menchaca-Méndez, E Montero, LM Antonio, S Zapotecas-Martínez, ...
IEEE Access 7, 18267-18283, 2019
14 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 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 Ants can learn from the opposite N Rojas-Morales, MC Riff, E Montero
Proceedings of the Genetic and Evolutionary Computation Conference 2016, 389-396, 2016
8 2016