Villalobos-Cid, M., Vega-Araya, D., & Inostroza-Ponta, M. (2017). Application of different multi-objective decision making techniques in the phylogenetic inference problem. In 2017 36th International Conference of the Chilean Computer Science Society (SCCC) (pp. 1–9). 2017 36th International Conference of the Chilean Computer Science Society (SCCC). IEEE. https://doi.org/10.1109/sccc.2017.8405145.
type: 2017
Evaluating the use of local search strategies for a memetic algorithm for the protein-ligand docking problem
Ruiz-Tagle, B., Villalobos-Cid, M., Dorn, M., & Inostroza-Ponta, M. (2017). Evaluating the use of local search strategies for a memetic algorithm for the protein-ligand docking problem. In 2017 36th International Conference of the Chilean Computer Science Society (SCCC) (pp. 1–12). 2017 36th International Conference of the Chilean Computer Science Society (SCCC). IEEE. https://doi.org/10.1109/sccc.2017.8405141.
Tackling the bi-objective quadratic assignment problem by characterizing different memory strategies in a memetic algorithm
Sandoval-Soto, R., Villalobos-Cid, M., & Inostroza-Ponta, M. (2017). Tackling the bi-objective quadratic assignment problem by characterizing different memory strategies in a memetic algorithm. In 2017 36th International Conference of the Chilean Computer Science Society (SCCC) (pp. 1–12). 2017 36th International Conference of the Chilean Computer Science Society (SCCC). IEEE. https://doi.org/10.1109/sccc.2017.8405140.
Using local search strategies to improve the performance of NSGA-II for the Multi-Criteria Minimum Spanning Tree problem
Párraga-Álava, J., Dorn, M., & Inostroza-Ponta, M. (2017). Using local search strategies to improve the performance of NSGA-II for the Multi-Criteria Minimum Spanning Tree problem. En 2017 IEEE Congress on Evolutionary Computation (CEC 2017) (pp. 1119–1126). IEEE. https://doi.org/10.1109/CEC.2017.7969432
An evolutionary multi-agent algorithm to explore the high degree of selectivity in three-dimensional protein structures
De Lima Corrêa, L., Inostroza-Ponta, M., & Dorn, M. (2017). An evolutionary multi-agent algorithm to explore the high degree of selectivity in three-dimensional protein structures. En 2017 IEEE Congress on Evolutionary Computation (CEC 2017) (pp. 1111–1118). IEEE. https://doi.org/10.1109/CEC.2017.7969431
A bi-objective model for gene clustering combining expression data and external biological knowledge
Párraga-Álava, J., & Inostroza-Ponta, M. (2017). A bi-objective model for gene clustering combining expression data and external biological knowledge. En Proceedings of the 42nd Latin American Computing Conference, CLEI 2016. IEEE. https://doi.org/10.1109/CLEI.2016.7833327