An informatics tool for class-to-class planning and academic-load evaluation

Huallcca, L., Madrid, G., Mellado, J., Vega-Araya, D., & Villalobos-Cid, M. (2020). An informatics tool for class-to-class planning and academic-load evaluation. In 2020 39th International Conference of the Chilean Computer Science Society (SCCC) (pp. 1–5). 2020 39th International Conference of the Chilean Computer Science Society (SCCC). IEEE. https://doi.org/10.1109/sccc51225.2020.9281221.

Evaluating the categorisation of the public hospitals in Chile according to case-mix complexity: a genetic algorithm approach

Gonzalez, A. C., Lillo, J., Inostroza-Ponta, M., & Villalobos-Cid, M. (2020). Evaluating the categorisation of the public hospitals in Chile according to case-mix complexity: a genetic algorithm approach. In 2020 39th International Conference of the Chilean Computer Science Society (SCCC) (pp. 1–9). 2020 39th International Conference of the Chilean Computer Science Society (SCCC). IEEE. https://doi.org/10.1109/sccc51225.2020.9281282.

Photovoltaic and Energy Storage Sizing Algorithm for the Chilean Distribution Tariff

Troncoso, N., Rojo-Gonzalez, L., Vasquez, O. C., Acuna, R., Chavez, H., & Villalobos-Cid, M. (2020). Photovoltaic and Energy Storage Sizing Algorithm for the Chilean Distribution Tariff. In 2020 39th International Conference of the Chilean Computer Science Society (SCCC) (pp. 1–5). 2020 39th International Conference of the Chilean Computer Science Society (SCCC). IEEE. https://doi.org/10.1109/sccc51225.2020.9281205.

A multimodal multi-objective optimisation approach to deal with the phylogenetic inference problem

Rivera, C., Inostroza-Ponta, M., & Villalobos-Cid, M. (2020). A multimodal multi-objective optimisation approach to deal with the phylogenetic inference problem. In 2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) (pp. 1–7). 2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE. https://doi.org/10.1109/cibcb48159.2020.9277700.

A dynamic evolutionary multi-agent system to predict the 3D structure of proteins

Correa, L., Arantes, L., Sens, P., Inostroza-Ponta, M., & Dorn, M. (2020). A dynamic evolutionary multi-agent system to predict the 3D structure of proteins. En 2020 IEEE Congress on Evolutionary Computation (CEC 2020). IEEE. https://doi.org/10.1109/CEC48606.2020.9185761

Dealing with the Balanced Academic Curriculum Problem considering the Chilean Academic Credit Transfer System

Villalobos-Cid, M., Orellana, M., Vasquez, O. C., Pinto-Sothers, E., & Inostroza-Ponta, M. (2019). Dealing with the Balanced Academic Curriculum Problem considering the Chilean Academic Credit Transfer System. In 2019 38th International Conference of the Chilean Computer Science Society (SCCC) (pp. 1–7). 2019 38th International Conference of the Chilean Computer Science Society (SCCC). IEEE. https://doi.org/10.1109/sccc49216.2019.8966411

A multi-objective optimisation evolutionary approach for the Multidimensional Scaling Problem

Giglio, J., Inostroza-Ponta, M., & Villalobos-Cid, M. (2019). A multi-objective optimisation evolutionary approach for the Multidimensional Scaling Problem. In 2019 38th International Conference of the Chilean Computer Science Society (SCCC) (pp. 1–8). 2019 38th International Conference of the Chilean Computer Science Society (SCCC). IEEE. https://doi.org/10.1109/sccc49216.2019.8966433.

Economic decision-making tool for distributed solar photovoltaic panels and storage: The case of Chile

Troncoso, N., Rojo-González, L., Villalobos, M., Vásquez, Ó. C., & Chávez, H. (2019). Economic decision-making tool for distributed solar photovoltaic panels and storage: The case of Chile. In Energy Procedia (Vol. 159, pp. 388–393). Elsevier BV. https://doi.org/10.1016/j.egypro.2018.12.071.

Understanding the Relationship Between Decision and Objective Space in the Multi-Objective Phylogenetic Inference Problem

Villalobos-Cid, M., Dorn, M., & Inostroza-Ponta, M. (2018). Understanding the Relationship Between Decision and Objective Space in the Multi-Objective Phylogenetic Inference Problem. In 2018 IEEE Congress on Evolutionary Computation (CEC) (pp. 1–8). 2018 IEEE Congress on Evolutionary Computation (CEC). IEEE. https://doi.org/10.1109/cec.2018.8477689.

Performance Comparison of Multi-Objective Local Search Strategies to Infer Phylogenetic Trees

Villalobos-Cid, M., Dorn, M., & Inostroza-Ponta, M. (2018). Performance Comparison of Multi-Objective Local Search Strategies to Infer Phylogenetic Trees. In 2018 IEEE Congress on Evolutionary Computation (CEC) (pp. 1–8). 2018 IEEE Congress on Evolutionary Computation (CEC). IEEE. https://doi.org/10.1109/cec.2018.8477666.