Published Journals
•[2026] Understanding ant colony optimization search through local optima networks. Nicolás Rojas-Morales, Elizabeth Montero, Leslie Pérez, Gabriela Ochoa, María Cristina Riff, Applied Soft Computing, 115549.
•[2026] MHMetLib: A New Performance Indicators Library for Trajectory and Population-Based Metaheuristics. Juan Pablo Cassis, Joaquín Gatica, Nicolás Rojas-Morales, Carlos Hernández Castellanos, Applied Sciences, 16 (7), 3529, MDPI.
•[2025] Analyzing the parameter search process of evolutionary calibrator using search trajectory networks. Nicolás Rojas-Morales, Elizabeth Montero, Nicolás Toro, Gabriela Ochoa, Applied Sciences, Annals of Operations Research, 1-24, Springer US.
•[2025] Parameter Prediction for Metaheuristic Algorithms Solving Routing Problem Instances Using Machine Learning. Tomás Barros-Everett, Elizabeth Montero, Nicolás Rojas-Morales, Applied Sciences, 15 (6), 2946, MDPI.
•[2023] Using a Classifier Ensemble for Preventing Burnout in University Students: a study case in Valparaíso. Gonzalo Larraín, Nicolás Rojas-Morales, Daniel Olcay & Nicolás Gonzalez, 116235-116254 (11),
10.1109/ACCESS.2023.3325785, IEEE Access.
•[2023] Opposite scoring: focusing the tuning process of evolutionary calibrator. Nicolás Rojas-Morales, María Cristina Riff, Neural Computing and Applications, 2023/1/25, Springer London.
•[2022] A Track-Based Conference Scheduling Problem. Fabián Riquelme, Elizabeth Montero, Leslie Pérez-Cáceres, Nicolás Rojas-Morales, Mathematics 10 (21), 3976, Multidisciplinary Digital Publishing Institute.
•[2022] High Frequency and Dynamic Pairs Trading optimized with Ant Colony Optimization. Jose Miguel Cerda & Nicolás Rojas-Morales & Marcel C. Minutolo & Werner Kristjanpoller, Computational Economics, Vol. 59, Pág. 1251-1275, Springer US.
•[2021] Opposition-Inspired synergy in sub-colonies of ants: The case of Focused Ant Solver. Nicolás Rojas-Morales & María-Cristina Riff Rojas & Elizabeth Montero,
10.1016/j.knosys.2021.107341, Knowledge-Based Systems, Elsevier.
•[2021] Learning and focusing strategies to improve ACO that solves CSP. Nicolás Rojas-Morales & María-Cristina Riff Rojas & Bertrand Neveu,
10.1016/j.engappai.2021.104408, Engineering Applications of Artificial Intelligence, Elsevier.
•[2020] A Survey and a Classification of Recent Approaches to Solve the Google Machine Reassignment Problem. Darío Canales & Nicolás Rojas-Morales & María-Cristina Riff Rojas, IEEE Access, Vol. 8, 88815 - 88829, 2020.
•[2018] Tuners review: How crucial are set-up values to find effective parameter values? Elizabeth Montero & María-Cristina Riff Rojas & Nicolás Rojas-Morales, Engineering Applications of Artificial Intelligence, 76, 108-118, 2018.
•[2017] A survey and classification of Opposition-Based Metaheuristics. Nicolás Rojas-Morales & María-Cristina Riff Rojas & Elizabeth Montero Ureta, Computers & Industrial Engineering, pages 424 - 435, Vol 110, 2017.
•[2017] Improving harmony search algorithms by using tonal variation: the case of Sudoku and MKP. Nicolás Rojas-Morales & María-Cristina Riff Rojas, Connection Science, pages 1 - 27, 2017.
Publications
•[2026] MO-irace: A Multi-Objective Racing Configurator. Carlos Bracamonte, Nicolás Rojas-Morales, Carlos Hernández, Diana Gil-Silvestre, Proceedings of the 2026 Genetic and Evolutionary Computation Conference, (in press), ACM.
•[2026] Tuning Strategies for Heterogeneous Instance Sets Using irace. Diana Gil-Silvestre, Nicolás Rojas-Morales, Leslie Pérez-Cáceres, Thomas Stützle, Proceedings of the 2026 Genetic and Evolutionary Computation Conference, (in press), ACM.
•[2025] A Search Trajectory Networks Model to Understand irace. Pablo Estobar, Nicolás Rojas-Morales, Diana Gil-Silvestre, Gabriela Ochoa, Proceedings of the 2025 Genetic and Evolutionary Computation Conference,
10.1145/3712255.3726661, ACM.
•[2025] 2SLG: A Metaheuristic Approach for Procedural Level Generation for 2-D Platformers. Carlos Saavedra, Nicolás Rojas-Morales, 2025 44th International Conference of the Chilean Computer Science Society (SCCC), pp. 1-8, DOI:
10.1109/SCCC67219.2025.11420601, IEEE.
•[2025] Towards Enhancing Diversity in irace’s Elite Configurations: A Clustering-Based Strategy. Diana Gil-Silvestre, Nicolás Rojas-Morales, Leslie Pérez-Cáceres, Thomas Stützle, 2025 44th International Conference of the Chilean Computer Science Society (SCCC), pp. 1-8, doi:
10.1109/SCCC67219.2025.11420672, IEEE.
•[2025] Automated Selection and Ordering of Clip Sequences for Music Videos based on Tonal Tension and Visual Features. Nicolás Rojas-Morales, evo*2025 EvoMUSART Proceedings.
•[2024] Understanding Search Trajectories in Parameter Tuning. María-Inés Riveros, Nicolás Rojas-Morales, Elizabeth Montero, Gabriela Ochoa, Proceedings of the 2024 Genetic and Evolutionary Computation Conference, GECCO, ACM.
•[2022] Towards a Classifier Ensamble to prevent Burnout Syndrome on University Students. Gonzalo Larraín, Nicolás Rojas-Morales, Daniel Olcay Jeneral & Nicolás Gonzalez Rogél, 2022 41st International Conference of the Chilean Computer Science Society, IEEE,
10.1109/SCCC57464.2022.10000313.
•[2022] Opposition-Inspired Strategies for Tabu Search approaches proposed for Knapsack Problems. Victoria Miranda & Nicolás Rojas-Morales, 2022 IEEE Congress on Evolutionary Computation, IEEE,
10.1109/CEC55065.2022.9870266.
•[2021] Reducing the effort of Evolutionary Calibrator Using Opposite Information. Nicolás Rojas-Morales, María Cristina Riff, 2021 IEEE Latin American Conference on Computational Intelligence.
•[2021] An Ant based approach to solve the Electric Vehicle Routing Problem with Time Windows and Partial Recharges. Andrés Huerta-Rojo, Elizabeth Montero, Nicolás Rojas-Morales, SCCC 2021 - 40th International Conference of the Chilean Computer Science Society.
•[2020] Modelling Parameter Configuration Spaces with Local Optima Networks. German Treimun-Costa, Elizabeth Montero, Gabriela Ochoa, Nicolás Rojas-Morales, Proceedings of the 2020 Genetic and Evolutionary Computation Conference, GECCO, Pages 751–759, ACM.
•[2020] A Practical Tuner Based on Opposite Information. Nicolás Rojas-Morales & María-Cristina Riff Rojas, 2020 IEEE Congress on Evolutionary Computation, CEC,
10.1109/CEC48606.2020.9185746, IEEE.
•[2018] A Cooperative Opposite-Inspired Learning Strategy for Ant-based Algorithms. Nicolás Rojas-Morales & María-Cristina Riff Rojas & Carlos A. Coello Coello, Eleventh International Conference on Swarm Intelligence, ANTS 2018, pages 317–324, Rome, Italy, Springer LNCS Series.
•[2018] Feasibility and Availability based Heuristics for ACO algorithms solving Binary CSP. Nicolás Rojas-Morales & María-Cristina Riff Rojas & Bertrand Neveu, 2018 IEEE Congress on Evolutionary Computation, CEC 2018,
10.1109/CEC.2018.8477747, Rio de Janeiro, Brazil, IEEE.
•[2017] An Overview of Weighted and Unconstrained Scalarizing Functions. Miriam Pescador-Rojas & Raquel Hernández Gómez & Carlos A. Coello Coello & Nicolás Rojas-Morales & María-Cristina Riff Rojas & Elizabeth Montero Ureta, International Conference on Evolutionary Multi-Criterion Optimization, pages 499 -513, 2017.
•[2016] Ants can Learn from the Opposite. Nicolás Rojas-Morales & María-Cristina Riff Rojas & Elizabeth Montero Ureta, Proceedings of the Companion Publication of the 2016 Annual Conference on Genetic and Evolutionary Computation, GECCO 2016, pages 389-396, Denver, USA, ACM.
•[2016] Learning from the opposite: Strategies for Ants that solve MKP. Nicolás Rojas-Morales & María-Cristina Riff Rojas & Elizabeth Montero Ureta, 2016 IEEE Congress on Evolutionary Computation, CEC 2016, pages 193-200, Vancouver, Canada, IEEE.
•[2015] Using Anti-pheromone to Identify Core Objects for Multidimensional Knapsack Problems: A Two-step Ants based Approach. Nicolás Rojas Morales & María-Cristina Riff Rojas & Elizabeth Montero Ureta, Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, GECCO 2015, pages 1469-1470, Madrid, Spain, ACM.
•[2015] Google challenge: A hyperheuristic for the Machine Reassignment problem. Rodolfo Hoffmann Letelier & María-Cristina Riff Rojas & Elizabeth Montero Ureta & Nicolás Rojas Morales, 2015 IEEE Congress on Evolutionary Computation, CEC 2015, pages 846-853, Sendai, Japan, IEEE.
•[2013] Including Modal Improvisation and Music-Inspired Components to Improve Harmony Search. Nicolás Rojas Morales & María-Cristina Riff Rojas, Proceedings of the 12th Mexican International Conference on Artificial Intelligence, Part II, MICAI 2013, pages 105-117, Mexico City, Mexico, Lecture Notes in Computer Science, Springer.
•[2013] New Components with on-line Control to Improve Harmony Search. Nicolás Rojas, María-Cristina Riff, Xavier Bonnaire, & Elizabeth Montero, Proceedings of the IEEE International Conference on Computer and Information Technology, CIT 2013, pages 538-544, Sydney, Australia, IEEE.
