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Carolina Salto
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2020 – today
- 2023
- [j12]Carolina Salto
, Gabriela F. Minetti
Big optimization with genetic algorithms: Hadoop, Spark, and MPI. Soft Comput. 27(16): 11469-11484 (2023) - 2021
- [c13]Carlos Bermúdez
Internal Behavior Analysis of SA Using Adaptive Strategies to Set the Markov Chain Length. CACIC 2021: 3-17 - [c12]Carlos Bermúdez
A Parallel Optimization Solver for the Multi-period WDND Problem. HAIS 2021: 625-636 - 2020
- [j11]Gabriela F. Minetti, José Hernandez, Mercedes Carnero, Carolina Salto, Carlos Bermudez, Mabel Sanchez:
Tuning a hybrid SA based algorithm applied to Optimal Sensor Network Design. J. Comput. Sci. Technol. 20(1): 03 (2020) - [j10]Carolina Salto, Franco Morero, Carlos Bermúdez:
Parallelism and Hybridization in Differential Evolution to solve the Flexible Job Shop Scheduling Problem. J. Comput. Sci. Technol. 20(1): 04 (2020) - [c11]Carlos Bermudez, Hugo Alfonso
Hybrid Simulated Annealing to Optimize the Water Distribution Network Design: A Real Case. CACIC 2020: 19-34
2010 – 2019
- 2019
- [j9]Carolina Salto
Cellular Genetic Algorithms: Understanding the Behavior of Using Neighborhoods. Appl. Artif. Intell. 33(10): 863-880 (2019) - 2018
- [j8]Gabriela F. Minetti
Artificial Bee Colony Algorithm Improved with Evolutionary Operators. J. Comput. Sci. Technol. 18(02): 13 (2018) - [c10]Carlos Bermudez, Carolina Salto
Solving the Multi-Period Water Distribution Network Design Problem with a Hybrid Simulated Anealling. CACIC 2018: 3-16 - [c9]Carolina Salto
Developing Genetic Algorithms Using Different MapReduce Frameworks: MPI vs. Hadoop. CAEPIA 2018: 262-272 - 2015
- [j7]Carolina Salto
Adapting Distributed Evolutionary Algorithms to Heterogeneous Hardware. Trans. Comput. Collect. Intell. 19: 103-125 (2015) - 2014
- [j6]Carolina Salto
Enhancing distributed EAs by a proactive strategy. Clust. Comput. 17(2): 219-229 (2014) - 2013
- [c8]Carolina Salto
Distributed Evolutionary Algorithms in Heterogeneous Environments. 3PGCIC 2013: 606-611 - [c7]Carolina Salto
Enhancing distributed EAs using proactivity. GECCO (Companion) 2013: 1747-1748 - 2012
- [j5]Carolina Salto
Designing heterogeneous distributed GAs by efficiently self-adapting the migration period. Appl. Intell. 36(4): 800-808 (2012) - [c6]Carolina Salto
Heterogeneity through Proactivity: Enhancing Distributed EAs. 3PGCIC 2012: 279-284 - 2011
- [c5]Carolina Salto
Using landscape measures for the online tuning of heterogeneous distributed gas. GECCO (Companion) 2011: 691-694 - 2010
- [j4]Carlos Bermudez, Patricia Graglia, Natalia Stark, Carolina Salto, Hugo Alfonso:
A Comparison of Recombination Operators for Capacitate Vehicle Routing Problem. Inteligencia Artif. 14(46): 34-44 (2010) - [c4]Carolina Salto
Heterogeneous parallel algorithms to solve epistatic problems. IPDPS Workshops 2010: 1-7
2000 – 2009
- 2009
- [p1]Carolina Salto, Guillermo Leguizamón, Enrique Alba, Juan M. Molina:
Evolutionary and Ant Colony Optimization Based Approaches for a Two-Dimensional Strip Packing Problem. Natural Intelligence for Scheduling, Planning and Packing Problems 2009: 245-266 - 2008
- [j3]Carolina Salto, Enrique Alba, Juan M. Molina, Guillermo Leguizamón:
Greedy Seeding Procedure for GAs Solving a Strip Packing Problem. Inteligencia Artif. 12(40): 73-85 (2008) - [c3]Carolina Salto
Hybrid Ant Colony System to Solve a 2-Dimensional Strip Packing Problem. HIS 2008: 708-713 - 2007
- [c2]Carolina Salto
Analysis of Distributed Genetic Algorithms for Solving a Strip Packing Problem. LSSC 2007: 609-617 - 2006
- [j2]Carolina Salto
Analysis of distributed genetic algorithms for solving cutting problems. Int. Trans. Oper. Res. 13(5): 403-423 (2006) - 2004
- [c1]Vanina Beraudo, Hugo Alfonso, Gabriela F. Minetti
Constrained Two-Dimensional Non-Guillotine Cutting Problem: an Evolutionary Approach. SCCC 2004: 84-89 - 2002
- [j1]Susana C. Esquivel, S. W. Ferrero, Raúl Héctor Gallard, Carolina Salto
Enhanced evolutionary algorithms for single and multiobjective optimization in the job shop scheduling problem. Knowl. Based Syst. 15(1-2): 13-25 (2002)
Coauthor Index
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