Nicolás Rojas

Neural Comput. Appl., May, 2023

Using a Classifier Ensemble for Preventing Burnout in University Students: A Study Case in Valparaíso.

[BibT_eX]

[DOI]

Gonzalo B. Larrain

Nicolás Gonzalez Rogel

Daniel Olcay Jeneral

IEEE Access, 2023

2022

Towards a Classifier Ensamble to prevent Burnout Syndrome on University Students.

[BibT_eX]

[DOI]

Gonzalo B. Larrain

Daniel Olcay Jeneral

Nicolás Gonzalez Rogel

Proceedings of the 41st International Conference of the Chilean Computer Science Society, 2022

Opposition-Inspired Strategies for Tabu Search approaches proposed for Knapsack Problems.

[BibT_eX]

[DOI]

Victoria Miranda-Burgos

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

Opposition-Inspired synergy in sub-colonies of ants: The case of Focused Ant Solver.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Learning and focusing strategies to improve ACO that solves CSP.

[BibT_eX]

[DOI]

Bertrand Neveu

Eng. Appl. Artif. Intell., 2021

An Ant-based approach to solve the Electric Vehicle Routing Problem with Time Windows and Partial Recharges.

[BibT_eX]

[DOI]

Andrés Huerta-Rojo

Proceedings of the 40th International Conference of the Chilean Computer Science Society, 2021

Reducing the effort of Evolutionary Calibrator Using Opposite Information.

[BibT_eX]

[DOI]

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021

2020

A Survey and a Classification of Recent Approaches to Solve the Google Machine Reassignment Problem.

[BibT_eX]

[DOI]

Dario Canales

IEEE Access, 2020

Modelling parameter configuration spaces with local optima networks.

[BibT_eX]

[DOI]

German Treimun-Costa

Gabriela Ochoa

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

A Practical Tuner based on Opposite Information.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2018

Tuners review: How crucial are set-up values to find effective parameter values?

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2018

Improving harmony search algorithms by using tonal variation: the case of Sudoku and MKP.

[BibT_eX]

[DOI]

Connect. Sci., 2018

Feasibility and Availability Based Heuristics for ACO Algorithms Solving Binary CSP.

[BibT_eX]

[DOI]

Bertrand Neveu

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

A Cooperative Opposite-Inspired Learning Strategy for Ant-Based Algorithms.

[BibT_eX]

[DOI]

Carlos A. Coello Coello

Proceedings of the Swarm Intelligence - 11th International Conference, 2018

2017

A survey and classification of Opposition-Based Metaheuristics.

[BibT_eX]

[DOI]

María Cristina Riff Rojas

Comput. Ind. Eng., 2017

An Overview of Weighted and Unconstrained Scalarizing Functions.

[BibT_eX]

[DOI]

Miriam Pescador-Rojas

Raquel Hernández Gómez

Carlos A. Coello Coello

Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

2016

Ants can Learn from the Opposite.

[BibT_eX]

[DOI]

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Learning from the opposite: Strategies for Ants that solve multidimensional Knapsack problem.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Using Anti-pheromone to Identify Core Objects for Multidimensional Knapsack Problems: A Two-step Ants based Approach.

[BibT_eX]

[DOI]

Nicolás Rojas

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Google challenge: A hyperheuristic for the Machine Reassignment Problem.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2013

Including Modal Improvisation and Music-Inspired Components to Improve Harmony Search.

[BibT_eX]

[DOI]

Nicolás Rojas