PUGACE, a cellular Evolutionary Algorithm framework on GPUs. - Nicolas Soca; Jose Luis Blengio; Martín Pedemonte; Pablo Ezzatti (IEEE Congress on Evolutionary Computation, 2010)

Improving the Performance of a Ray Tracing Algorithm Using a GPU. - Santiago Cioli; Gonzalo Ordeix; Eduardo Fernández 003; Martín Pedemonte; Pablo Ezzatti (SCCC, 2010)

Bitwise operations for GPU implementation of genetic algorithms. - Martín Pedemonte; Enrique Alba 001; Francisco Luna 001 (GECCO (Companion), 2011)

Real path planning based on genetic algorithm and Voronoi diagrams. - Facundo Benavides; Gonzalo Tejera; Martín Pedemonte; Serrana Casella (LARC, 2011)

A GPU Implementation of the SIP Method. - Pablo Igounet; Pablo Alfaro; Martín Pedemonte; Pablo Ezzatti (SCCC, 2011)

A survey on parallel ant colony optimization. - Martín Pedemonte; Sergio Nesmachnow; Héctor Cancela 001 (Appl. Soft Comput., 2011)

Accelerating radiative heat transfer calculations on modern hardware. - Ernesto Dufrechu; Federico Favre; Martín Pedemonte; Pedro Curto; Pablo Ezzatti (CLEI, 2012)

Towards the Design of Systolic Genetic Search. - Martín Pedemonte; Enrique Alba 001; Francisco Luna 001 (IPDPS Workshops, 2012)

An efficient implementation of the Min-Min heuristic. - Pablo Ezzatti; Martín Pedemonte; Alvaro Martín (Comput. Oper. Res., 2013)

New Ideas in Parallel Metaheuristics on GPU: Systolic Genetic Search. - Martín Pedemonte; Francisco Luna 001; Enrique Alba 001 (Massively Parallel Evolutionary Computation on GPGPUs, 2013)

Systolic Genetic Search for Software Engineering: The Test Suite Minimization Case. - Martín Pedemonte; Francisco Luna 001; Enrique Alba 001 (EvoApplications, 2014)

Another step to the full GPU implementation of the weather research and forecasting model. - Juan Pablo Silva; José Hagopian; Marcel Burdiat; Ernesto Dufrechou; Martín Pedemonte; Alejandro Gutiérrez Arce; Gabriel Cazes; Pablo Ezzatti (J. Supercomput., 2014)

Accelerating the Min-Min Heuristic. - Martín Pedemonte; Pablo Ezzatti; Alvaro Martín (PPAM (2), 2015)

Systolic genetic search, a systolic computing-based metaheuristic. - Martín Pedemonte; Francisco Luna 001; Enrique Alba 001 (Soft Comput., 2015)

Overview of HPC benchmarks in hybrid hardware platforms (CPUs+GPUs). - Danilo Espino; Gerardo Ares; Martín Pedemonte; Pablo Ezzatti (CLEI, 2016)

A Systolic Genetic Search for reducing the execution cost of regression testing. - Martín Pedemonte; Francisco Luna 001; Enrique Alba 001 (Appl. Soft Comput., 2016)

A VNS with Parallel Evaluation of Solutions for the Inverse Lighting Problem. - Ignacio Decia; Rodrigo Leira; Martín Pedemonte; Eduardo Fernández 003; Pablo Ezzatti (EvoApplications (1), 2017)

A Biased Random-Key Genetic Algorithm for Regression Test Case Prioritization. - Pablo Carballo; Pablo Perera; Santiago Rama; Martín Pedemonte (LA-CCI, 2018)

Task Parallelism in the WRF Model Through Computation Offloading to Many-Core Devices. - Rodrigo Baya; Claudio Porrini; Martín Pedemonte; Pablo Ezzatti (PDP, 2018)

A theoretical and empirical study of the trajectories of solutions on the grid of Systolic Genetic Search. - Martín Pedemonte; Francisco Luna 001; Enrique Alba 001 (Inf. Sci., 2018)

Accelerating the Calculation of Friedman Test Tables on Many-Core Processors. - Diego Irigaray; Ernesto Dufrechou; Martín Pedemonte; Pablo Ezzatti; Carlos López-Vázquez (CARLA, 2019)

A Comparative Study on the Numerical Performance of Kaizen Programming and Genetic Programming for Symbolic Regression Problems. - Jimena Ferreira; Ana Inés Torres; Martín Pedemonte (LA-CCI, 2019)

Research platform for cattle virtual fences. - Néstor Acosta; Nicolás Barreto; Pablo Caitano; Raúl Marichal; Martín Pedemonte; Julián Oreggioni (ICIT, 2020)

Exploring Multi-objective Cellular Genetic Algorithms in Community Detection Problems. - Martín Pedemonte; Ángel Panizo-LLedot; Gema Bello Orgaz; David Camacho (IDEAL (2), 2020)

An asynchronous computation architecture for enhancing the performance of the Weather Research and Forecasting model. - Rodrigo Baya; Martín Pedemonte; Alejandro Gutiérrez Arce; Pablo Ezzatti (Concurr. Comput. Pract. Exp., 2020)

Towards a Multi-Output Kaizen Programming Algorithm. - Jimena Ferreira; Ana Inés Torres; Martín Pedemonte (LA-CCI, 2021)

Evolutionary multi-objective algorithms for feed resource allocation in dairy systems. - Gastón Notte; Pablo Chilibroste; Martín Pedemonte; Héctor Cancela 001 (LA-CCI, 2021)

Kaizen Programming for predicting numerical linear algebra operations performance. - Jimena Ferreira; Ernesto Dufrechou; Martín Pedemonte (LA-CCI, 2022)

Scheduling of the Uruguayan Football and Basketball Leagues. - Martín Lago; Nicolás Lantean; Santiago Rodríguez; Federico Defranco; Martín Pedemonte (LA-CCI, 2022)

Addressing Evolutionary-Based Dynamic Problems: A New Methodology for Evaluating Immigrants Strategies in MOGAs. - Ángel Panizo-LLedot; Martín Pedemonte; Gema Bello Orgaz; David Camacho (IEEE Access, 2022)

Development of a machine learning-based soft sensor for an oil refinery's distillation column. - Jimena Ferreira; Martín Pedemonte; Ana Inés Torres (Comput. Chem. Eng., 2022)

Trajectory-based Metaheuristics for Improving Sparse Matrix Storage. - Manuel Freire 002; Raúl Marichal; Ernesto Dufrechou; Pablo Ezzatti; Martín Pedemonte (LA-CCI, 2023)

Does Kaizen Programming need a physic-informed mechanism to improve the search? - Jimena Ferreira; Ana Inés Torres; Martín Pedemonte (LA-CCI, 2023)

A Kaizen Programming algorithm for multi-output regression based on a heterogeneous island model. - Jimena Ferreira; Ana Inés Torres; Martín Pedemonte (Neural Comput. Appl., 2023)