Evaluating the use of local search strategies for a memetic algorithm for the protein-ligand docking problem

B. Ruiz-Tagle, M. Villalobos-Cid, M. Dorn and M. Inostroza-Ponta, (2017) Evaluating the use of local search strategies for a memetic algorithm for the protein-ligand docking problem, 2017 36th International Conference of the Chilean Computer Science Society (SCCC), Arica, 2017, pp. 1-12.

Using local search strategies to improve the performance of NSGA-II for the Multi-Criteria Minimum Spanning Tree problem

J. P arraga- Alava, M. Dorn and M. Inostroza-Ponta, (2017) Using local search strategies to improve the performance of NSGA-II for the Multi-Criteria Minimum Spanning Tree problem, 2017 IEEE Congress on Evolutionary Computation (CEC), San Sebastian, 2017, pp. 1119-1126.

An evolutionary multi-agent algorithm to explore the high degree of selectivity in three-dimensional protein structures

L. de Lima Correa, M. Inostroza-Ponta and M. Dorn, (2017) An evolutionary multi-agent algorithm to explore the high degree of selectivity in three-dimensional protein structures, 2017 IEEE Congress on Evolutionary Computation (CEC), San Sebastian, 2017, pp. 1111-1118.

A bi-objective model for gene clustering combining expression data and external biological knowledge

Parraga- Alava J., Inostroza-Ponta M. (2016). A bi-objective model for gene clustering combining expression data and external biological knowledge. CLEI 2016: 1-12.

Evaluation of a combined energy tness function for a distributed memetic algorithm to tackle the 3D protein structure prediction problem

Escobar I., Hidalgo N., Inostroza-Ponta M., Mar n M., Rosas E. , Dorn M. (2016) Evaluation of a combined energy tness function for a distributed memetic algorithm to tackle the 3D protein structure prediction problem. SCCC 2016: 1-10.

A Memetic Algorithm for Protein Structure Prediction based on Conformational Preferences of Aminoacid Residues

Mario Inostroza-Ponta, Camilo Farf an, M arcio Dorn. (2015) A Memetic Algorithm for Protein Structure Prediction based on Conformational Preferences of Aminoacid Residues. GECCO (Companion) 2015: 1403-1404.

A memetic algorithm for the quadratic assignment problem with parallel local search

Harris, Matthew; Berretta, Regina; Inostroza-Ponta, Mario; Moscato, Pablo. (2015) A memetic algorithm for the quadratic assignment problem with parallel local search. In: 2015 IEEE Congress on Evolutionary Computation (CEC), 2015, Sendai. 2015 IEEE Congress on Evolutionary Computation (CEC), 2015. p. 838-845.

A knowledge-based genetic algorithm to predict three-dimensional structures of polypeptides

Dorn, M.; Inostroza-Ponta, M.; Buriol, L.S.; Verli, H. (2013), A knowledge-based genetic algorithm to predict three-dimensional structures of polypeptides, Evolutionary Computation (CEC), 2013 IEEE Congress on, vol., no., pp.1233,1240, 20-23 June 2013. doi: 10.1109/CEC.2013.6557706

Clustering Nodes in Large-Scale Biological Networks Using External Memory Algorithms

Ahmed Shamsul Are n; Inostroza-Ponta, Mario; Luke Mathieson; Berretta, R; Moscato, Pablo (2011) Clustering Nodes in Large-Scale Biological Networks Using External Memory Algorithms. Lecture Notes in Computer Science, v. 7017, p. 375-386. doi:10.1007/978-3-642-24669-2 36

Evaluating Memory Schemas in a Memetic Algorithm for the Quadratic Assignment Problem

Meneses, H.; Inostroza-Ponta, M., (2011) Evaluating Memory Schemas in a Memetic Algorithm for the Quadratic Assignment Problem, Computer Science Society (SCCC), 2011 30th International Conference of the Chilean , vol., no., pp.14,18, 9-11 Nov. 2011. doi: 10.1109/SCCC.2011.3