Manuel Villalobos-Cid

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 22

Top Topics

Protein Structure Prediction

Maximum Parsimony

Memetic Algorithm

Top Venues

IEEE Trans. Evol. Comput.

Publications

Felipe-Andrés Bello Robles, Manuel Villalobos-Cid, Max Chacón, Mario Inostroza-Ponta
A multi-objective optimisation approach for the linear modelling of cerebral autoregulation system. Biosyst. 241 (2024)
Manuel Villalobos-Cid, Márcio Dorn, Ángela Contreras, Mario Inostroza-Ponta
An evolutionary algorithm based on parsimony for the multiobjective phylogenetic network inference problem. Appl. Soft Comput. 139 (2023)
Nicolás Mariángel, Juan Giglio, Sebastián Aliaga-Rojas, Manuel Villalobos-Cid, Mario Inostroza-Ponta
Evaluating the incorporation of Biological Knowledge in multiobjective clustering of gene expression data. SCCC (2023)
Vicente Rivera-Rebolledo, Manuel Villalobos-Cid, Mario Inostroza-Ponta
Improving solution diversity on NSGA-II for multi-objective clustering problems. SCCC (2022)
Manuel Villalobos-Cid, César Rivera, Eduardo I. Kessi-Pérez, Mario Inostroza-Ponta
A multi-modal algorithm based on an NSGA-II scheme for phylogenetic tree inference. Biosyst. 213 (2022)
José Fernández Goycoolea, Mario Inostroza-Ponta, Manuel Villalobos-Cid, Mauricio Marín
Single-solution based metaheuristic approach to a novel restricted clustering problem. SCCC (2021)
Juan Giglio, Gabriel Gaete-Lucero, Manuel Villalobos-Cid
Classification of Chileans public hospitals based on healthcare production using clustering techniques. SCCC (2021)
Sebastián Aliaga-Rojas, Manuel Villalobos-Cid, Márcio Dorn, Mario Inostroza-Ponta
A multi-objective approach for the protein structure prediction problem. SCCC (2021)
Nelson Troncoso, Luis Rojo-González, Óscar C. Vásquez, Rodrigo Acuña, Héctor Chávez, Manuel Villalobos-Cid
Photovoltaic and Energy Storage Sizing Algorithm for the Chilean Distribution Tariff. SCCC (2020)
Liliana Huallcca, Graciela Madrid Muñoz, José Mellado, Daniel Vega-Araya, Manuel Villalobos-Cid
An informatics tool for class-to-class planning and academic-load evaluation. SCCC (2020)
César Rivera, Mario Inostroza-Ponta, Manuel Villalobos-Cid
A multimodal multi-objective optimisation approach to deal with the phylogenetic inference problem. CIBCB (2020)
Angelo Carlier González, José Lillo, Mario Inostroza-Ponta, Manuel Villalobos-Cid
Evaluating the categorisation of the public hospitals in Chile according to case-mix complexity: a genetic algorithm approach. SCCC (2020)
Manuel Villalobos-Cid, Francisco Salinas, Mario Inostroza-Ponta
Total evidence or taxonomic congruence? A comparison of methods for combining biological evidence. J. Bioinform. Comput. Biol. 18 (6) (2020)
Juan Giglio, Mario Inostroza-Ponta, Manuel Villalobos-Cid
A multi-objective optimisation evolutionary approach for the Multidimensional Scaling Problem. SCCC (2019)
Manuel Villalobos-Cid, Maximiliano Orellana, Oscar C. Vásquez, Eduardo Pinto-Sothers, Mario Inostroza-Ponta
Dealing with the Balanced Academic Curriculum Problem considering the Chilean Academic Credit Transfer System. SCCC (2019)
Manuel Villalobos-Cid, Márcio Dorn, Rodrigo Ligabue-Braun, Mario Inostroza-Ponta
A Memetic Algorithm Based on an NSGA-II Scheme for Phylogenetic Tree Inference. IEEE Trans. Evol. Comput. 23 (5) (2019)
Manuel Villalobos-Cid, Márcio Dorn, Mario Inostroza-Ponta
Understanding the Relationship Between Decision and Objective Space in the Multi-Objective Phylogenetic Inference Problem. CEC (2018)
Manuel Villalobos-Cid, Márcio Dorn, Mario Inostroza-Ponta
Performance Comparison of Multi-Objective Local Search Strategies to Infer Phylogenetic Trees. CEC (2018)
Roberto Sandoval-Soto, Manuel Villalobos-Cid, Mario Inostroza-Ponta
Tackling the bi-objective quadratic assignment problem by characterizing different memory strategies in a memetic algorithm. SCCC (2017)
Manuel Villalobos-Cid, Daniel Vega-Araya, Mario Inostroza-Ponta
Application of different multi-objective decision making techniques in the phylogenetic inference problem. SCCC (2017)
Benjamin Ruiz-Tagle, Manuel Villalobos-Cid, Márcio Dorn, Mario Inostroza-Ponta
Evaluating the use of local search strategies for a memetic algorithm for the protein-ligand docking problem. SCCC (2017)
Manuel Villalobos-Cid, Max Chacón, Pedro Zitko, Mario Inostroza-Ponta
A New Strategy to Evaluate Technical Efficiency in Hospitals Using Homogeneous Groups of Casemix - How to Evaluate When There is Not DRGs? J. Medical Syst. 40 (4) (2016)