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2020 – today
- 2023
[j10]Jimena Ferreira
, Ana Inés Torres, Martín Pedemonte:
A Kaizen Programming algorithm for multi-output regression based on a heterogeneous island model. Neural Comput. Appl. 35(13): 9299-9317 (2023)- [c23]Manuel Freire, Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti, Martín Pedemonte:
Trajectory-based Metaheuristics for Improving Sparse Matrix Storage. LA-CCI 2023: 1-6 - [c22]Jimena Ferreira, Ana Inés Torres, Martín Pedemonte:
Does Kaizen Programming need a physic-informed mechanism to improve the search? LA-CCI 2023: 1-6 - 2022
- [j9]Ángel Panizo-LLedot, Martín Pedemonte, Gema Bello Orgaz, David Camacho:
Addressing Evolutionary-Based Dynamic Problems: A New Methodology for Evaluating Immigrants Strategies in MOGAs. IEEE Access 10: 27611-27629 (2022) - [j8]Jimena Ferreira, Martín Pedemonte, Ana Inés Torres:
Development of a machine learning-based soft sensor for an oil refinery's distillation column. Comput. Chem. Eng. 161: 107756 (2022) - [c21]Jimena Ferreira, Ernesto Dufrechou, Martín Pedemonte:
Kaizen Programming for predicting numerical linear algebra operations performance. LA-CCI 2022: 1-6 - [c20]Martín Lago, Nicolás Lantean, Santiago Rodríguez, Federico Defranco, Martín Pedemonte:
Scheduling of the Uruguayan Football and Basketball Leagues. LA-CCI 2022: 1-6 - 2021
- [c19]Jimena Ferreira, Ana Inés Torres, Martín Pedemonte:
Towards a Multi-Output Kaizen Programming Algorithm. LA-CCI 2021: 1-6 - [c18]Gastón Notte, Pablo Chilibroste, Martín Pedemonte, Héctor Cancela:
Evolutionary multi-objective algorithms for feed resource allocation in dairy systems. LA-CCI 2021: 1-6 - 2020
- [j7]Rodrigo Baya, Martín Pedemonte, Alejandro Gutiérrez Arce, Pablo Ezzatti:
An asynchronous computation architecture for enhancing the performance of the Weather Research and Forecasting model. Concurr. Comput. Pract. Exp. 32(19) (2020) - [c17]Néstor Acosta, Nicolás Barreto, Pablo Caitano, Raúl Marichal, Martín Pedemonte, Julián Oreggioni:
Research platform for cattle virtual fences. ICIT 2020: 797-802 - [c16]Martín Pedemonte, Ángel Panizo-LLedot, Gema Bello Orgaz, David Camacho:
Exploring Multi-objective Cellular Genetic Algorithms in Community Detection Problems. IDEAL (2) 2020: 223-235
2010 – 2019
- 2019
- [c15]Diego Irigaray, Ernesto Dufrechou, Martín Pedemonte, Pablo Ezzatti, Carlos López-Vázquez:
Accelerating the Calculation of Friedman Test Tables on Many-Core Processors. CARLA 2019: 122-135 - [c14]Jimena Ferreira, Ana Inés Torres, Martín Pedemonte:
A Comparative Study on the Numerical Performance of Kaizen Programming and Genetic Programming for Symbolic Regression Problems. LA-CCI 2019: 1-6 - 2018
- [j6]Martín Pedemonte, Francisco Luna, Enrique Alba:
A theoretical and empirical study of the trajectories of solutions on the grid of Systolic Genetic Search. Inf. Sci. 445-446: 97-117 (2018) - [c13]Pablo Carballo, Pablo Perera, Santiago Rama, Martín Pedemonte:
A Biased Random-Key Genetic Algorithm for Regression Test Case Prioritization. LA-CCI 2018: 1-6 - [c12]Rodrigo Baya, Claudio Porrini, Martín Pedemonte, Pablo Ezzatti:
Task Parallelism in the WRF Model Through Computation Offloading to Many-Core Devices. PDP 2018: 596-600 - 2017
- [c11]Ignacio Decia, Rodrigo Leira, Martín Pedemonte, Eduardo Fernández, Pablo Ezzatti:
A VNS with Parallel Evaluation of Solutions for the Inverse Lighting Problem. EvoApplications (1) 2017: 741-756 - 2016
- [j5]Martín Pedemonte, Francisco Luna, Enrique Alba:
A Systolic Genetic Search for reducing the execution cost of regression testing. Appl. Soft Comput. 49: 1145-1161 (2016) - [c10]Danilo Espino, Gerardo Ares, Martín Pedemonte, Pablo Ezzatti:
Overview of HPC benchmarks in hybrid hardware platforms (CPUs+GPUs). CLEI 2016: 1-10 - 2015
- [j4]Martín Pedemonte, Francisco Luna, Enrique Alba:
Systolic genetic search, a systolic computing-based metaheuristic. Soft Comput. 19(7): 1779-1801 (2015) - [c9]Martín Pedemonte, Pablo Ezzatti, Alvaro Martín:
Accelerating the Min-Min Heuristic. PPAM (2) 2015: 101-110 - 2014
- [j3]Juan Pablo Silva, José Hagopian, Marcel Burdiat, Ernesto Dufrechou, Martín Pedemonte, Alejandro Gutiérrez Arce, Gabriel Cazes, Pablo Ezzatti:
Another step to the full GPU implementation of the weather research and forecasting model. J. Supercomput. 70(2): 746-755 (2014) - [c8]Martín Pedemonte, Francisco Luna, Enrique Alba:
Systolic Genetic Search for Software Engineering: The Test Suite Minimization Case. EvoApplications 2014: 678-689 - 2013
- [j2]Pablo Ezzatti, Martín Pedemonte, Alvaro Martín:
An efficient implementation of the Min-Min heuristic. Comput. Oper. Res. 40(11): 2670-2676 (2013) - [p1]Martín Pedemonte, Francisco Luna, Enrique Alba:
New Ideas in Parallel Metaheuristics on GPU: Systolic Genetic Search. Massively Parallel Evolutionary Computation on GPGPUs 2013: 203-225 - 2012
- [c7]Ernesto Dufrechu, Federico Favre, Martín Pedemonte, Pedro Curto, Pablo Ezzatti:
Accelerating radiative heat transfer calculations on modern hardware. CLEI 2012: 1-9 - [c6]Martín Pedemonte, Enrique Alba, Francisco Luna:
Towards the Design of Systolic Genetic Search. IPDPS Workshops 2012: 1778-1786 - 2011
- [j1]Martín Pedemonte, Sergio Nesmachnow, Héctor Cancela:
A survey on parallel ant colony optimization. Appl. Soft Comput. 11(8): 5181-5197 (2011) - [c5]Martín Pedemonte, Enrique Alba, Francisco Luna:
Bitwise operations for GPU implementation of genetic algorithms. GECCO (Companion) 2011: 439-446 - [c4]Facundo Benavides, Gonzalo Tejera, Martín Pedemonte, Serrana Casella:
Real path planning based on genetic algorithm and Voronoi diagrams. LARC 2011: 1-6 - [c3]Pablo Igounet, Pablo Alfaro, Martín Pedemonte, Pablo Ezzatti:
A GPU Implementation of the SIP Method. SCCC 2011: 195-201 - 2010
- [c2]Nicolas Soca, Jose Luis Blengio, Martín Pedemonte, Pablo Ezzatti:
PUGACE, a cellular Evolutionary Algorithm framework on GPUs. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c1]Santiago Cioli, Gonzalo Ordeix, Eduardo Fernández, Martín Pedemonte, Pablo Ezzatti:
Improving the Performance of a Ray Tracing Algorithm Using a GPU. SCCC 2010: 11-20
Coauthor Index
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