A New Strategy to Evaluate Technical Efficiency in Hospitals Using Homogeneous Groups of Casemix - How to Evaluate When There is Not DRGs? - Manuel Villalobos-Cid; Max Chacón; Pedro Zitko; Mario Inostroza-Ponta (J. Medical Syst., 2016)

Evaluating the use of local search strategies for a memetic algorithm for the protein-ligand docking problem. - Benjamin Ruiz-Tagle; Manuel Villalobos-Cid; Márcio Dorn; Mario Inostroza-Ponta (SCCC, 2017)

Tackling the bi-objective quadratic assignment problem by characterizing different memory strategies in a memetic algorithm. - Roberto Sandoval-Soto; Manuel Villalobos-Cid; Mario Inostroza-Ponta (SCCC, 2017)

Application of different multi-objective decision making techniques in the phylogenetic inference problem. - Manuel Villalobos-Cid; Daniel Vega-Araya; Mario Inostroza-Ponta (SCCC, 2017)

Performance Comparison of Multi-Objective Local Search Strategies to Infer Phylogenetic Trees. - Manuel Villalobos-Cid; Márcio Dorn; Mario Inostroza-Ponta (CEC, 2018)

Understanding the Relationship Between Decision and Objective Space in the Multi-Objective Phylogenetic Inference Problem. - Manuel Villalobos-Cid; Márcio Dorn; Mario Inostroza-Ponta (CEC, 2018)

A multi-objective optimisation evolutionary approach for the Multidimensional Scaling Problem. - Juan Giglio; Mario Inostroza-Ponta; Manuel Villalobos-Cid (SCCC, 2019)

Dealing with the Balanced Academic Curriculum Problem considering the Chilean Academic Credit Transfer System. - Manuel Villalobos-Cid; Maximiliano Orellana; Oscar C. Vásquez 001; Eduardo Pinto-Sothers; Mario Inostroza-Ponta (SCCC, 2019)

A Memetic Algorithm Based on an NSGA-II Scheme for Phylogenetic Tree Inference. - Manuel Villalobos-Cid; Márcio Dorn; Rodrigo Ligabue-Braun; Mario Inostroza-Ponta (IEEE Trans. Evol. Comput., 2019)

A multimodal multi-objective optimisation approach to deal with the phylogenetic inference problem. - César Rivera; Mario Inostroza-Ponta; Manuel Villalobos-Cid (CIBCB, 2020)

Evaluating the categorisation of the public hospitals in Chile according to case-mix complexity: a genetic algorithm approach. - Angelo Carlier González; José Lillo; Mario Inostroza-Ponta; Manuel Villalobos-Cid (SCCC, 2020)

An informatics tool for class-to-class planning and academic-load evaluation. - Liliana Huallcca; Graciela Madrid Muñoz; José Mellado; Daniel Vega-Araya; Manuel Villalobos-Cid (SCCC, 2020)

Photovoltaic and Energy Storage Sizing Algorithm for the Chilean Distribution Tariff. - Nelson Troncoso; Luis Rojo-González; Óscar C. Vásquez 001; Rodrigo Acuña; Héctor Chávez; Manuel Villalobos-Cid (SCCC, 2020)

Total evidence or taxonomic congruence? A comparison of methods for combining biological evidence. - Manuel Villalobos-Cid; Francisco Salinas; Mario Inostroza-Ponta (J. Bioinform. Comput. Biol., 2020)

A multi-objective approach for the protein structure prediction problem. - Sebastián Aliaga-Rojas; Manuel Villalobos-Cid; Márcio Dorn; Mario Inostroza-Ponta (SCCC, 2021)

Classification of Chileans public hospitals based on healthcare production using clustering techniques. - Juan Giglio; Gabriel Gaete-Lucero; Manuel Villalobos-Cid (SCCC, 2021)

Single-solution based metaheuristic approach to a novel restricted clustering problem. - José Fernández Goycoolea; Mario Inostroza-Ponta; Manuel Villalobos-Cid; Mauricio Marín (SCCC, 2021)

Improving solution diversity on NSGA-II for multi-objective clustering problems. - Vicente Rivera-Rebolledo; Manuel Villalobos-Cid; Mario Inostroza-Ponta (SCCC, 2022)

A multi-modal algorithm based on an NSGA-II scheme for phylogenetic tree inference. - Manuel Villalobos-Cid; César Rivera; Eduardo I. Kessi-Pérez; Mario Inostroza-Ponta (Biosyst., 2022)

Evaluating the incorporation of Biological Knowledge in multiobjective clustering of gene expression data. - Nicolás Mariángel; Juan Giglio; Sebastián Aliaga-Rojas; Manuel Villalobos-Cid; Mario Inostroza-Ponta (SCCC, 2023)

An evolutionary algorithm based on parsimony for the multiobjective phylogenetic network inference problem. - Manuel Villalobos-Cid; Márcio Dorn; Ángela Contreras; Mario Inostroza-Ponta (Appl. Soft Comput., 2023)

A Multiobjective Evolutionary Algorithm for Colon Cancer Biomarkers Identification on Gene Expression Data. - Jorge Cubillos-Chaparro; Márcio Dorn; Manuel Villalobos-Cid; Mario Inostroza-Ponta (CIBCB, 2024)

Optimising Planned Academic Workload Distribution: A Multiobjective Approach for the Balanced Academic Curriculum Problem. - Felipe González-Capot; Luz Chourio-Acevedo; Oscar C. Vásquez 001; Manuel Villalobos-Cid (SCCC, 2024)

Impact of the DRG System on Technical Efficiency: A Case Study of Chilean High-Complexity Hospitals. - Javier Pérez-Cáceres; José Lillo-Vidal; Igor Tona Peres; Manuel Villalobos-Cid (SCCC, 2024)

A multi-objective optimisation approach for the linear modelling of cerebral autoregulation system. - Felipe-Andrés Bello Robles; Manuel Villalobos-Cid; Max Chacón; Mario Inostroza-Ponta (Biosyst., 2024)