JabRef references

Author	Title	Year	Journal/Proceedings	Reftype	DOI/URL
Rojas, M.G., Ana Carolina Olivera, Carballido, J.A. and Vidal, P.J.	Memetic micro-genetic algorithms for cancer data classification [Abstract] [BibTeX]	2023	Intelligent Systems with Applications Vol. 17, pp. 200173	article	URL
Abstract: Fast and precise medical diagnosis of human cancer is crucial for treatment decisions. Gene selection consists of identifying a set of informative genes from microarray data to allow high predictive accuracy in human cancer classification. This task is a combinatorial search problem, and optimisation methods can be applied for its resolution. In this paper, two memetic micro-genetic algorithms (MuV1 and MuV2) with different hybridisation approaches are proposed for feature selection of cancer microarray data. Seven gene expression datasets are used for experimentation. The comparison with stochastic state-of-the-art optimisation techniques concludes that problem-dependent local search methods combined with micro-genetic algorithms improve feature selection of cancer microarray data.
BibTeX: @article{Rojas2023, author = {Matías Gabriel Rojas and Ana Carolina Olivera and Jessica Andrea Carballido and Pablo Javier Vidal}, title = {Memetic micro-genetic algorithms for cancer data classification}, journal = {Intelligent Systems with Applications}, year = {2023}, volume = {17}, pages = {200173}, note = {Scimagojr Q1 Artificial Intelligence, Q1 Computer Sciences Applications, Q1 Computer Sciences miscellaneous}, url = {https://doi.org/10.1016/j.iswa.2022.200173} }
Baquela, E.G. and Ana Carolina Olivera	Optimising Distribution of Limited COVID-19 Vaccines: Analysing Impact in Argentine [Abstract] [BibTeX]	2022	Humanitarian Logistics from the Disaster Risk Reduction Perspective : Theory and Applications, pp. 273-291	inbook	URL
Abstract: Vaccination has become the most powerful tool to win the battle at COVID-19. Optimised distribution of the vaccines is crucial to provide a level of immunisation over a country that protects susceptible individuals from infectious diseases. However, the COVID-19 vaccines are recent, so manufacturing is slow. Consequently, its limited supply has a tremendous impact on the distribution policies in countries that depend on foreign supplies. In this chapter, a model of distribution of the COVID-19 vaccine is proposed, and several optimisation algorithms are tested. The proposal is tested in the Argentine scenario. It features an essential demonstration of the impact of an optimised distribution of the vaccine.
BibTeX: @inbook{Baquela2022, author = {Enrique Gabriel Baquela and Ana Carolina Olivera}, title = {Optimising Distribution of Limited COVID-19 Vaccines: Analysing Impact in Argentine}, booktitle = {Humanitarian Logistics from the Disaster Risk Reduction Perspective : Theory and Applications}, publisher = {Springer International Publishing}, year = {2022}, pages = {273--291}, url = {10.1007/978-3-030-90877-5_9} }
Rojas, M.G., Ana Carolina Olivera and Vidal, P.J.	Optimising Multilayer Perceptron weights and biases through a Cellular Genetic Algorithm for medical data classification [Abstract] [BibTeX]	2022	Array Vol. 14, pp. 100173	article	URL
Abstract: In recent years, technology in medicine has shown a significant advance due to artificial intelligence becoming a framework to make accurate medical diagnoses. Models like Multilayer Perceptrons (MLPs) can detect implicit patterns in data, allowing identifying patients conditions that cannot be seen easily. MLPs consist of biased neurons arranged in layers, connected by weighted connections. Their effectiveness depends on finding the optimal weights and biases that reduce the classification error, which is usually done by using the Back Propagation algorithm (BP). But BP has several disadvantages that could provoke the MLP not to learn. Metaheuristics are alternatives to BP that reach high-quality solutions without using many computational resources. In this work, the Cellular Genetic Algorithm (CGA) with a specially designed crossover operator called Damped Crossover (DX), is proposed to optimise weights and biases of the MLP to classify medical data. When compared against state-of-the-art algorithms, the CGA configured with DX obtained the minimal Mean Square Error value in three out of the five considered medical datasets and was the quickest algorithm with four datasets, showing a better balance between time consumed and optimisation performance. Additionally, it is competitive in enhancing classification quality, reaching the best accuracy with two datasets and the second-best accuracy with two of the remaining.
BibTeX: @article{Rojas2022, author = {Matías Gabriel Rojas and Ana Carolina Olivera and Pablo Javier Vidal}, title = {Optimising Multilayer Perceptron weights and biases through a Cellular Genetic Algorithm for medical data classification}, journal = {Array}, year = {2022}, volume = {14}, pages = {100173}, url = {https://doi.org/10.1016/j.array.2022.100173} }
Ana Carolina Olivera and Vidal, P.J.	A multi-objective swarm approach with pedestrians spotlight in traffic urban optimisation [BibTeX]	2022	IEEE Latin America Transactions Vol. 20(11), pp. 2363-2370	article	URL
BibTeX: @article{2022a, author = {Ana Carolina Olivera and Pablo Javier Vidal}, title = {A multi-objective swarm approach with pedestrians spotlight in traffic urban optimisation}, journal = {IEEE Latin America Transactions}, year = {2022}, volume = {20}, number = {11}, pages = {2363--2370}, note = {Scimagojr Q3 Computer Sciences (2021)}, url = {http://doi.org/10.1109/TLA.2022.9904761} }
Baquela, E.G. and Ana Carolina Olivera	Hybridization of NSGA-II and MILP for optimization of the location of electric-scooters sharing-stations [BibTeX]	2022	IEEE Latin America Transactions Vol. 20(11), pp. 2381-2387	article	URL
BibTeX: @article{Baquela2022a, author = {Enrique Gabriel Baquela and Ana Carolina Olivera}, title = {Hybridization of NSGA-II and MILP for optimization of the location of electric-scooters sharing-stations}, journal = {IEEE Latin America Transactions}, year = {2022}, volume = {20}, number = {11}, pages = {2381--2387}, note = {Scimagojr Q3 Computer Sciences (2021)}, url = {http://doi.org/10.1109/TLA.2022.9904763} }
Rojas, M.G., Carballido, J.A., Ana Carolina Olivera and Vidal, P.J.	A Modified Multi-Swarm Optimization for Weights and Biases of a Multi-Layer Perceptron for Medical Data Classification [BibTeX]	2022	2022 IEEE Biennial Congress of Argentina (ARGENCON), pp. 1-8	inproceedings	DOI
BibTeX: @inproceedings{Rojas2022a, author = {Matías Gabriel Rojas and Jessica Andrea Carballido and Ana Carolina Olivera and Pablo Javier Vidal}, title = {A Modified Multi-Swarm Optimization for Weights and Biases of a Multi-Layer Perceptron for Medical Data Classification}, booktitle = {2022 IEEE Biennial Congress of Argentina (ARGENCON)}, year = {2022}, pages = {1-8}, doi = {https://doi.org/10.1109/ARGENCON55245.2022.9940066} }
Stern, M.D.V., Ana Carolina Olivera and Vidal, P.J.	Paralelización del filtro convolución para imágenes digitales [BibTeX]	2021	Anales del V Congreso Internacional de Ciencias de la Computación y Sistemas de Información	inproceedings
BibTeX: @inproceedings{Stern2021, author = {Mariel Denise Volman Stern and Ana Carolina Olivera and Pablo Javier Vidal}, title = {Paralelización del filtro convolución para imágenes digitales}, booktitle = {Anales del V Congreso Internacional de Ciencias de la Computación y Sistemas de Información}, year = {2021}, note = {to appear} }
Rojas, M.G., Carballido, J.A., Ana C. Olivera and Vidal, P.J.	Optimización de Support Vector Machine mediante metaheurísticas para clasificación de retinopatia diabética [BibTeX]	2020	ASAI - Simposio Argentino de Inteligencia Artificial de JAIIO 2020, pp. 73-86	conference	URL
BibTeX: @conference{Rojas2020, author = {Matías G. Rojas and Jessica A. Carballido and Ana C. Olivera and Pablo J. Vidal}, title = {Optimización de Support Vector Machine mediante metaheurísticas para clasificación de retinopatia diabética}, booktitle = {ASAI - Simposio Argentino de Inteligencia Artificial de JAIIO 2020}, year = {2020}, pages = {73--86}, note = {ISSN: 2451-7585.}, url = {http://49jaiio.sadio.org.ar/pdfs/asai/ASAI-06.pdf} }
Rojas, M.G., A. C. {Olivera}, Carballido, J.A. and Vidal, P.J.	A Memetic Cellular Genetic Algorithm for Cancer Data Microarray Feature Selection [Abstract] [BibTeX]	2020	IEEE Latin America Transactions Vol. 18(11), pp. 1874-1883	article	URL
Abstract: Gene selection aims at identifying a -small- subset of informative genes from the initial data to obtain high predictive accuracy for classification in human cancers. Gene selection can be considered as a combinatorial search problem and thus can be conveniently handled with optimization methods. This paper proposes a Memetic Cellular Genetic Algorithm (MCGA) to solve the Feature Selection problem of cancer microarray datasets. Benchmark gene expression datasets, i.e., colon, lymphoma, and leukaemia available in the literature were used for experimentation. MCGA is compared with other well-known metaheuristic' strategies. The results demonstrate that our proposal can provide efficient solutions to find a minimal subset of the genes.
BibTeX: @article{Rojas2020a, author = {M. G. Rojas and A. C. {Olivera} and J. A. Carballido and P. J. Vidal}, title = {A Memetic Cellular Genetic Algorithm for Cancer Data Microarray Feature Selection}, journal = {IEEE Latin America Transactions}, year = {2020}, volume = {18}, number = {11}, pages = {1874--1883}, note = {Scimagojr Q3 Computer Sciences (2020)}, url = {https://doi.org/10.1109/TLA.2020.9398628} }
Rojas, M.G., Carballido, J.A., Ana Carolina Olivera and Vidal., P.J.	A Memetic Cellular Genetic Algorithm for Multiple Sequence Alignment [Abstract] [BibTeX]	2020	Proceedings of the 2020 IEEE Biennial Congress of Argentina	conference	URL
Abstract: The Deoxyribonucleic Acid Fragment Assembly Problem represents an interesting research topic in the field of bioinformatics. This problem consists in reconstructing a DNA chain as close to the original sequence from a set of DNA fragments taken randomly. Several authors have proposed different approaches to solve Deoxyribonucleic Acid Fragment Assembly Problem. In particular, nature-inspired algorithms has been used for its resolution. Among these techniques, the Cuckoo Search is a recent method based on the breeding of the cuckoo birds. In this paper, a discrete Cuckoo Search algorithm is adapted to DNA-FAP hybridising with the behaviour of two different local searches to improve the search capabilities of the canonical algorithm. A numerical evaluation of both proposals and the canonical version is carried out using a well-known benchmark dataset. Results demonstrate that the hybridisation improves the search and transform the cuckoo search in a robust procedure with the potential to deal with longer sequences or sequences of unknown length as well.
BibTeX: @conference{Rojas2020b, author = {Matías Gabriel Rojas and Jessica Andrea Carballido and Ana Carolina Olivera and Pablo Javier Vidal.}, title = {A Memetic Cellular Genetic Algorithm for Multiple Sequence Alignment}, booktitle = {Proceedings of the 2020 IEEE Biennial Congress of Argentina}, year = {2020}, url = {https://doi.org/10.1109/ARGENCON49523.2020.9505544} }
Vidal, P.J. and Ana Carolina Olivera	Avoided traffic jams optimising the scheduling of signalised intersection of Mendoza Downtown and surrounding [BibTeX]	2020	IV Congreso Internacional de Ciencias de la Computación y Sistemas de Información	conference	URL
BibTeX: @conference{Vidal2020, author = {Pablo Javier Vidal and Ana Carolina Olivera}, title = {Avoided traffic jams optimising the scheduling of signalised intersection of Mendoza Downtown and surrounding}, booktitle = {IV Congreso Internacional de Ciencias de la Computación y Sistemas de Información}, year = {2020}, url = {http://ciccsi2020.uch.edu.ar/files/Anales CICCSI 2020_CR.pdf} }
Rojas, M.G., Carballido, J.A., Ana Carolina Olivera and Vidal., P.J.	Hybrid Cuckoo Search for solving DNA Fragment Assembly Problem [Abstract] [BibTeX]	2020	IV Congreso Internacional de Ciencias de la Computación y Sistemas de Información	conference	URL
Abstract: The Deoxyribonucleic Acid Fragment Assembly Problem represents an interesting research topic in the field of bioinformatics. This problem consists in reconstructing a DNA chain as close to the original sequence from a set of DNA fragments taken randomly. Several authors have proposed different approaches to solve Deoxyribonucleic Acid Fragment Assembly Problem. In particular, nature-inspired algorithms has been used for its resolution. Among these techniques, the Cuckoo Search is a recent method based on the breeding of the cuckoo birds. In this paper, a discrete Cuckoo Search algorithm is adapted to DNA-FAP hybridising with the behaviour of two different local searches to improve the search capabilities of the canonical algorithm. A numerical evaluation of both proposals and the canonical version is carried out using a well-known benchmark dataset. Results demonstrate that the hybridisation improves the search and transform the cuckoo search in a robust procedure with the potential to deal with longer sequences or sequences of unknown length as well.
BibTeX: @conference{Rojas2020c, author = {Matías Gabriel Rojas and Jessica Andrea Carballido and Ana Carolina Olivera and Pablo Javier Vidal.}, title = {Hybrid Cuckoo Search for solving DNA Fragment Assembly Problem}, booktitle = {IV Congreso Internacional de Ciencias de la Computación y Sistemas de Información}, year = {2020}, url = {http://ciccsi2020.uch.edu.ar/files/Anales CICCSI 2020_CR.pdf} }
Dussaut, J., Ponzoni, I., Ana Olivera and Vidal, P.	Algoritmos Evolutivos Multiobjetivo aplicados a la Selección de Características en Microarrays de Datos de Cáncer [BibTeX]	2020	Entre Ciencia e Ingeniería Vol. 14(28), pp. 40-45	article	URL
BibTeX: @article{Dussaut2020, author = {Julieta Dussaut and Ignacio Ponzoni and Ana Olivera and Pablo Vidal}, title = {Algoritmos Evolutivos Multiobjetivo aplicados a la Selección de Características en Microarrays de Datos de Cáncer}, journal = {Entre Ciencia e Ingeniería}, year = {2020}, volume = {14}, number = {28}, pages = {40-45}, note = {Latindex}, url = {http://doi.org/10.31908/19098367.2014} }
Baquela, E.G. and Ana Carolina Olivera	A Novel Hybrid Multi-Objective Metamodel-Based Evolutionary Optimization Algorithm [Abstract] [BibTeX]	2019	Operations Research Perspectives Vol. 6, pp. 100098	article	URL
Abstract: Optimization via Simulation (OvS) is a useful optimization tool to find a solution to an optimization problem that is difficult to model analytically. OvS consists in evaluating potential solutions through simulation executions; however, its high computational cost is a factor that can make its implementation infeasible. This issue also occurs in multi-objective problems, which tend to be expensive to solve. In this work, we present a new hybrid multi-objective OvS algorithm, which uses Kriging-type metamodels to estimate the simulations results and a multi-objective evolutionary algorithm to manage the optimization process. Our proposal succeeds in reducing the computational cost significantly without affecting the quality of the results obtained. The evolutionary part of the hybrid algorithm is based on the popular NSGA-II. The hybrid method is compared to the canonical NSGA-II and other hybrid approaches, showing a good performance not only in the quality of the solutions but also as computational cost saving.
BibTeX: @article{Baquela2019, author = {Enrique Gabriel Baquela and Ana Carolina Olivera}, title = {A Novel Hybrid Multi-Objective Metamodel-Based Evolutionary Optimization Algorithm}, journal = {Operations Research Perspectives}, year = {2019}, volume = {6}, pages = {100098}, note = {Scimagojr Q1 Control and Optimization}, url = {http://dx.doi.org/10.1016/j.orp.2019.100098} }
Vidal, P.J. and Ana Carolina Olivera	Management of urban traffic flow based on traffic lights scheduling optimization [BibTeX]	2019	IEEE Latin America Transactions Vol. 17(1), pp. 102-110	article	URL
BibTeX: @article{Vidal2019, author = {Pablo Javier Vidal and Ana Carolina Olivera}, title = {Management of urban traffic flow based on traffic lights scheduling optimization}, journal = {IEEE Latin America Transactions}, year = {2019}, volume = {17}, number = {1}, pages = {102-110}, note = {Scimagojr Q2 Computer Sciences (2019)}, url = {http://dx.doi.org/10.1109/TLA.2019.8826701} }
Nesmachnow, S., Massobrio, R., Arreche, E., Mumford, C., Ana Carolina Olivera, Vidal, P.J. and Tchernykh, A.	Traffic lights synchronization for Bus Rapid Transit using a parallel evolutionary algorithm [Abstract] [BibTeX]	2019	International Journal of Transportation Science and Technology Vol. 8(1), pp. 53-67	article	URL
Abstract: This article presents a parallel evolutionary algorithm for public transport optimization by synchronizing traffic lights in the context of Bus Rapid Transit systems. The related optimization problem is NP-hard, so exact computational methods are not useful to solve real-world instances. Our research introduces a parallel evolutionary algorithm to efficiently configure and synchronize traffic lights and improve the average speed of buses and other vehicles. The Bus Rapid Transit on Garzón Avenue (Montevideo, Uruguay) is used as a case study. This is an interesting complex urban scenario due to the number of crossings, streets, and traffic lights in the zone. The experimental analysis compares the numerical results computed by the parallel evolutionary algorithm with a scenario that models the current reality. The results show that the proposed evolutionary algorithm achieves better quality of service when compared with the current reality, improving up to 15.3% the average bus speed and 24.8% the average speed of other vehicles. A multiobjective optimization analysis also demonstrates that additional improvements can be achieved by assigning different priorities to buses and other vehicles. In addition, further improvements can be achieved on a modified scenario simply by deleting a few bus stops and changing some traffic lights rules. The benefits of using a parallel solver are also highlighted, as the parallel version is able to accelerate the execution times up to 26.9× when compared with the sequential version.
BibTeX: @article{Nesmachnow2019, author = {Sergio Nesmachnow and Renzo Massobrio and Efraín Arreche and Christine Mumford and Ana Carolina Olivera and Pablo Javier Vidal and Andrei Tchernykh}, title = {Traffic lights synchronization for Bus Rapid Transit using a parallel evolutionary algorithm}, journal = {International Journal of Transportation Science and Technology}, year = {2019}, volume = {8}, number = {1}, pages = {53-67}, note = {Scimagojr Q1}, url = {https://doi.org/10.1016/j.ijtst.2018.10.002} }
Patrana, S., Ana Carolina Olivera and Vidal, P.J.	Análisis del Algoritmo Genético Celular para el Problema de Ensamblado de Cadenas de ADN [BibTeX]	2019	Informes Científicos Técnicos - UNPA Vol. 3(11), pp. 236-248	article	URL
BibTeX: @article{Patrana2019, author = {Sabrina Patrana and Ana Carolina Olivera and Pablo Javier Vidal}, title = {Análisis del Algoritmo Genético Celular para el Problema de Ensamblado de Cadenas de ADN}, journal = {Informes Científicos Técnicos - UNPA}, publisher = {Universidad Nacional de la Patagonia Austral}, year = {2019}, volume = {3}, number = {11}, pages = {236-248}, note = {Latindex}, url = {http://dx.doi.org/10.22305/ict-unpa.v11.n3.804} }
Vidal, P.J. and Ana Carolina Olivera	Ensamblado de fragmentos de ADN utilizando un novedoso algoritmo de luciérnaga en GPU [BibTeX]	2018	DYNA Vol. 85(204), pp. 108-116	article	URL
BibTeX: @article{Vidal2018, author = {Pablo Javier Vidal and Ana Carolina Olivera}, title = {Ensamblado de fragmentos de ADN utilizando un novedoso algoritmo de luciérnaga en GPU}, journal = {DYNA}, publisher = {Universidad Nacional de Colombia}, year = {2018}, volume = {85}, number = {204}, pages = {108--116}, note = {Scimagojr Q3 Engineering (miscellaneuos)}, url = {http://dx.doi.org/10.15446/dyna.v85n204.60078} }
Péres, M., Ruiz, G., Nesmachnow, S. and Ana Carolina Olivera	Multiobjective Evolutionary Optimization of Traffic Flow and Pollution in Montevideo, Uruguay [BibTeX]	2018	Applied Soft Computing Vol. 70, pp. 472-485	article	URL
BibTeX: @article{Peres2018, author = {Matias Péres and Germán Ruiz and Sergio Nesmachnow and Ana Carolina Olivera}, title = {Multiobjective Evolutionary Optimization of Traffic Flow and Pollution in Montevideo, Uruguay}, journal = {Applied Soft Computing}, year = {2018}, volume = {70}, pages = {472--485}, note = {Scimagojr Q1 Software}, url = {http://dx.doi.org/10.1016/j.asoc.2018.05.044} }
Vidal, P.J. and Ana Carolina Olivera	Solving the DNA Fragment Assembly Problem with a Parallel Discrete Firefly Algorithm implemented on GPU [BibTeX]	2018	Computer Science and Information Systems Vol. 15(2), pp. 273-293	article	URL
BibTeX: @article{Vidal2018a, author = {Pablo Javier Vidal and Ana Carolina Olivera}, title = {Solving the DNA Fragment Assembly Problem with a Parallel Discrete Firefly Algorithm implemented on GPU}, journal = {Computer Science and Information Systems}, year = {2018}, volume = {15}, number = {2}, pages = {273-293}, note = {(Q3 Scimago)}, url = {http://dx.doi.org/10.2298/CSIS170510009V} }
Pegels, S., Pegels, S. and Olivera, A.C.	Metaheuristics applied to the optimization of vehicular traffic in Posadas Downtown [BibTeX]	2018	2018 IEEE Biennial Congress of Argentina (ARGENCON), pp. 1-7	inproceedings	URL
BibTeX: @inproceedings{Pegels2018, author = {S. Pegels and S. Pegels and A. C. Olivera}, title = {Metaheuristics applied to the optimization of vehicular traffic in Posadas Downtown}, booktitle = {2018 IEEE Biennial Congress of Argentina (ARGENCON)}, year = {2018}, pages = {1-7}, url = {http://dx.doi.org/10.1109/ARGENCON.2018.8646133} }
Ana Carolina Olivera, Dussaut, J.S., Ponzoni, I. and Vidal, P.J.	Algoritmos Evolutivos Multiobjetivo aplicados a la Selección de Características en Microarrays de Datos de Cáncer [BibTeX]	2018	Congreso Internacional de Ciencias de la Computación y Sistemas de Información CICSI 2018	inproceedings
BibTeX: @inproceedings{2018, author = {Ana Carolina Olivera and Julieta Sol Dussaut and Ignacio Ponzoni and Pablo Javier Vidal}, title = {Algoritmos Evolutivos Multiobjetivo aplicados a la Selección de Características en Microarrays de Datos de Cáncer}, booktitle = {Congreso Internacional de Ciencias de la Computación y Sistemas de Información CICSI 2018}, year = {2018} }
Dussaut, J.S., Vidal, P.J., Ponzoni, I. and Ana Carolina Olivera	Comparing Multiobjective Evolutionary Algorithms for Cancer Data Microarray Feature Selection [BibTeX]	2018	2018 IEEE Congress on Evolutionary Computation, CEC 2018, Rio Janeiro, Brazil, July 8-13, 2018, pp. 1-8	inproceedings	URL
BibTeX: @inproceedings{Dussaut2018, author = {Julieta Sol Dussaut and Pablo Javier Vidal and Ignacio Ponzoni and Ana Carolina Olivera}, title = {Comparing Multiobjective Evolutionary Algorithms for Cancer Data Microarray Feature Selection}, booktitle = {2018 IEEE Congress on Evolutionary Computation, CEC 2018, Rio Janeiro, Brazil, July 8-13, 2018}, year = {2018}, pages = {1--8}, note = {ISBN: 978-1-5090-6017-7. QUALIS A1}, url = {https://doi.org/10.1109/CEC.2018.8477812} }
Baquela, E.G. and Ana Carolina Olivera	A Multi-Objective Optimization via Simulation framework for restructuring traffic networks subject to increases in population [BibTeX]	2017	(62)Recent Developments in Metaheuristics, pp. 199-218	incollection	URL
BibTeX: @incollection{Baquela2017, author = {Enrique Gabriel Baquela and Ana Carolina Olivera}, title = {A Multi-Objective Optimization via Simulation framework for restructuring traffic networks subject to increases in population}, booktitle = {Recent Developments in Metaheuristics}, publisher = {Springer}, year = {2017}, number = {62}, pages = {199-218}, url = {http://dx.doi.org/10.1007/978-3-319-58253-5_13} }
Vidal, P.J. and Ana Carolina OIivera	CLADI 2017 Congreso Latinoamericano de Ingeniería [BibTeX]	2017	1er. Congreso Latinoamericano de Ingeniería (CLADI 2017), pp. 200	inbook	URL
BibTeX: @inbook{Vidal2017, author = {Pablo Javier Vidal and Ana Carolina OIivera}, title = {CLADI 2017 Congreso Latinoamericano de Ingeniería}, booktitle = {1er. Congreso Latinoamericano de Ingeniería (CLADI 2017)}, publisher = {Universidad Tecnológica Nacional}, year = {2017}, pages = {200}, edition = {1}, url = {https://drive.google.com/file/d/14_cYKUGXfIsAdt6bdyZA-Y7_koGaP4Gr/view} }
Baquela, E.G. and Ana Carolina Olivera	Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics [BibTeX]	2016	, pp. 266-287	inbook	URL
BibTeX: @inbook{Baquela2016, author = {Enrique Gabriel Baquela and Ana Carolina Olivera}, title = {Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics}, publisher = {IGI Global}, year = {2016}, pages = {266-287}, url = {http://dx.doi.org/10.4018/978-1-4666-9644-0.ch010} }
Péres, M., Ruiz, G., Nesmachnow, S. and Carolina Olivera	Optimización Evolutiva del Tráfico Urbano y las Emisiones Vehiculares [BibTeX]	2016	Programación Matemática y Software Vol. 8(1), pp. 44-52	article	URL
BibTeX: @article{Peres2016, author = {Matías Péres and German Ruiz and Sergio Nesmachnow and Carolina Olivera}, title = {Optimización Evolutiva del Tráfico Urbano y las Emisiones Vehiculares}, journal = {Programación Matemática y Software}, year = {2016}, volume = {8}, number = {1}, pages = {44-52}, note = {ISSN-e:2007-3283. Latindex}, url = {http://www.progmat.uaem.mx:8080/Vol8num1/vol8num1art6.pdf} }
Ana Carolina Olivera, Garc\ia-Nieto, J.M. and Alba, E.	Reducing Vehicle Emissions and Fuel Consumption in the City by Using Particle Swarm Optimization [BibTeX]	2015	Applied Intelligence Vol. 42(3), pp. 389-405	article	URL
BibTeX: @article{2015, author = {Ana Carolina Olivera and José Manuel Garc\ia-Nieto and Enrique Alba}, title = {Reducing Vehicle Emissions and Fuel Consumption in the City by Using Particle Swarm Optimization}, journal = {Applied Intelligence}, year = {2015}, volume = {42}, number = {3}, pages = {389-405}, note = {Scimago Q2 Artificial Intelligence}, url = {http://dx.doi.org/10.1007/s10489-014-0604-3} }
Baquela, E.G. and Ana Carolina Olivera	Engineering Optimization 2014 [BibTeX]	2015	Vol. IV, pp. 557-559	inbook	URL
BibTeX: @inbook{Baquela2015, author = {Enrique Gabriel Baquela and Ana Carolina Olivera}, title = {Engineering Optimization 2014}, publisher = {Taylor & Francis Group}, year = {2015}, volume = {IV}, pages = {557-559}, url = {https://doi.org/10.1201/b17488} }
Frutos, M., Ana Carolina Oliveraa and Tohmé, F.	A Hybrid Genetic Algorithm for ROADEF'05-Like Complex Production Problems [BibTeX]	2015	DYNA-Colombia Vol. 82(190), pp. 82-88	article	URL
BibTeX: @article{Frutos2015, author = {Mariano Frutos and Ana Carolina Oliveraa and Fernando Tohmé}, title = {A Hybrid Genetic Algorithm for ROADEF'05-Like Complex Production Problems}, journal = {DYNA-Colombia}, year = {2015}, volume = {82}, number = {190}, pages = {82--88}, note = {Scimagojr Q2 (2015)}, url = {http://dx.doi.org/10.15446/dyna.v82n190.43137} }
Péres, M., Ruiz, G., Nesmachnow, S. and Carolina Olivera	Optimización Evolutiva del Tráfico Urbano y las Emisiones Vehiculares [BibTeX]	2015	XI Congreso Internacional de Cómputo en Optimización y Software	conference
BibTeX: @conference{Peres2015, author = {Matías Péres and German Ruiz and Sergio Nesmachnow and Carolina Olivera}, title = {Optimización Evolutiva del Tráfico Urbano y las Emisiones Vehiculares}, booktitle = {XI Congreso Internacional de Cómputo en Optimización y Software}, year = {2015}, note = {Este trabajo obtuvo el reconocimiento como art\'iculo m\'as destacado del congreso.} }
Rodriguez, D.A., A. C. Oliveraa and Brignole, N.B.	Vehicle routing for Public Transport with Adapted Simulated Annealing [Comment] [BibTeX]	2014	Latin American Applied Research Vol. 44(3), pp. 247-252	article	URL
Comment: ISSN: 0327-0793
BibTeX: @article{Rodriguez2014, author = {D. A. Rodriguez and A. C. Oliveraa and N. B. Brignole}, title = {Vehicle routing for Public Transport with Adapted Simulated Annealing}, journal = {Latin American Applied Research}, year = {2014}, volume = {44}, number = {3}, pages = {247-252}, note = {(Q4 Scimago)}, url = {http://laar.plapiqui.edu.ar/OJS/public/site/volumens/indexes/artic_v4403/44_03_247.pdf} }
Vidal, P. and Ana Carolina Olivera	A Parallel Discrete Firefly Algorithm on GPU for Permutation Combinatorial Optimization Problems [BibTeX]	2014	Communications in Computer and Information Science Vol. 485High Performance Computing, pp. 191-205	article	URL
BibTeX: @article{Vidal2014, author = {Pablo Vidal and Ana Carolina Olivera}, title = {A Parallel Discrete Firefly Algorithm on GPU for Permutation Combinatorial Optimization Problems}, booktitle = {High Performance Computing}, journal = {Communications in Computer and Information Science}, publisher = {Springer Berlin Heidelberg}, year = {2014}, volume = {485}, pages = {191-205}, note = {Scimago Q4}, url = {http://dx.doi.org/10.1007/978-3-662-45483-1_14} }
Ana Carolina Olivera, Frutos, M. and Carballido, J.A.	Metaheuristics in Water, Geotechnical and Transport Engineering [BibTeX]	2013	, pp. 417 - 438	inbook	URL
BibTeX: @inbook{2013, author = {Ana Carolina Olivera and Mariano Frutos and Jessica Andrea Carballido}, title = {Metaheuristics in Water, Geotechnical and Transport Engineering}, publisher = {Elsevier}, year = {2013}, pages = {417 - 438}, url = {http://dx.doi.org/10.1016/B978-0-12-398296-4.00018-0} }
García-Nieto, J.M., Ana Carolina Oliveraa and Alba, E.	Optimal Cycle Program of Traffic Lights with Particle Swarm Optimization [BibTeX]	2013	IEEE Transactions On Evolutionary Computation Vol. 17(6), pp. 823-839	article	URL
BibTeX: @article{GarciaNieto2013, author = {José Manuel García-Nieto and Ana Carolina Oliveraa and Enrique Alba}, title = {Optimal Cycle Program of Traffic Lights with Particle Swarm Optimization}, journal = {IEEE Transactions On Evolutionary Computation}, year = {2013}, volume = {17}, number = {6}, pages = {823-839}, note = {Scimagojr Q1}, url = {http://dx.doi.org/10.1109/TEVC.2013.2260755} }
Frutos, M., Ana Carolina Oliveraa and Tohmé, F.	Real-World Applications of Genetic Algorithms [BibTeX]	2012	, pp. 109-126	inbook	URL
BibTeX: @inbook{Frutos2012, author = {Mariano Frutos and Ana Carolina Oliveraa and Fernando Tohmé}, title = {Real-World Applications of Genetic Algorithms}, publisher = {INTECH open access publisher. d.o.o. Rijeka, Croatia}, year = {2012}, pages = {109-126}, note = {Indexado en el Book Citation Index de Web of Science (Thompson Routers).}, url = {http://dx.doi.org/10.5772/2674} }
García-Nieto, J., Alba, E. and A. Carolina Oliveraa	Swarm intelligence for traffic light scheduling: Application to real urban areas [BibTeX]	2012	Engineering Applications of Artificial Intelligence Vol. 25(2), pp. 274 - 283	article	URL
BibTeX: @article{GarciaNieto2012, author = {J. García-Nieto and E. Alba and A. Carolina Oliveraa}, title = {Swarm intelligence for traffic light scheduling: Application to real urban areas}, journal = {Engineering Applications of Artificial Intelligence}, year = {2012}, volume = {25}, number = {2}, pages = {274 - 283}, note = {Scimagojr Q1}, url = {http://dx.doi.org/10.1016/j.engappai.2011.04.011} }
Frutos, M., Ana Carolina Oliveraa and Tohmé, F.	A memetic algorithm based on a NSGAII scheme for the flexible job-shop scheduling problem [BibTeX]	2010	Annals of Operations Research Vol. 181, pp. 745-765	article	URL
BibTeX: @article{Frutos2010, author = {Mariano Frutos and Ana Carolina Oliveraa and Fernando Tohmé}, title = {A memetic algorithm based on a NSGAII scheme for the flexible job-shop scheduling problem}, journal = {Annals of Operations Research}, publisher = {Springer US}, year = {2010}, volume = {181}, pages = {745-765}, note = {Q1}, url = {http://dx.doi.org/10.1007/s10479-010-0751-9} }
Gigola, C.E., Nardini, M.L., A. C. Oliveraa and Brignole., N.B.	A Laboratory Experiment for Undergraduate Instruction: Non-Ideal Flow in Tubular Vessels [Comment] [BibTeX]	2010	Latin American Applied Research (LAAR) Vol. 40(4), pp. 317-322	article	URL
Comment: ISSN (paper version): 0327-0793. ISSN (digital version): 1851-8796. PLAPIQUI (UNS-CONICET)
BibTeX: @article{Gigola2010, author = {C. E. Gigola and M. L. Nardini and A. C. Oliveraa and N. B. Brignole.}, title = {A Laboratory Experiment for Undergraduate Instruction: Non-Ideal Flow in Tubular Vessels}, journal = {Latin American Applied Research (LAAR)}, year = {2010}, volume = {40}, number = {4}, pages = {317-322}, note = {Scimagojr Q3 (2010)}, url = {http://www.laar.plapiqui.edu.ar/OJS/public/site/volumens/indexes/artic_v4004/Vol40_4_317.pdf} }
Olivera Ana C., Mariano, F., Carballido Jessica, A., Ignacio, P. and Brignole Nélida, B.	Bus Network Scheduling Problem: GRASP + EAs with PISA * Simulation [BibTeX]	2009	Vol. 5517Bio-Inspired Systems: Computational and Ambient Intelligence, 10th International Work-Conference on Artificial Neural Networks (IWANN 2009), pp. 1272-1279	incollection	URL
BibTeX: @incollection{2009, author = {Olivera Ana C. and Frutos Mariano and Carballido Jessica A. and Ponzoni Ignacio and Brignole Nélida B.}, title = {Bus Network Scheduling Problem: GRASP + EAs with PISA * Simulation}, booktitle = {Bio-Inspired Systems: Computational and Ambient Intelligence, 10th International Work-Conference on Artificial Neural Networks (IWANN 2009)}, publisher = {Springer Berlin Heidelberg}, year = {2009}, volume = {5517}, pages = {1272-1279}, note = {Indexada en DBLP y SCOPUS. IWANN Indexado en CORE/ERA B.}, url = {http://dx.doi.org/10.1007/978-3-642-02478-8_159} }
Ana C. Olivera, Frutos, M., Carballido, J.A. and Brignole, N.B.	Bus Network Optimization with a Time-Dependent Hybrid Algorithm [BibTeX]	2008	J.UCS Journal of Universal Computer Science Vol. 14(15), pp. 2512-2531	article	URL
BibTeX: @article{2008, author = {Ana C. Olivera and Mariano Frutos and Jessica A. Carballido and Nélida B. Brignole}, title = {Bus Network Optimization with a Time-Dependent Hybrid Algorithm}, journal = {J.UCS Journal of Universal Computer Science}, year = {2008}, volume = {14}, number = {15}, pages = {2512--2531}, note = {Scimagojr Q2 Computer Sciences}, url = {http://www.jucs.org/jucs_14_15/bus_network_optimization_with} }
Olivera Ana C., Mariano, F., Carballido Jessica, A. and Brignole Nélida, B.	Bus Network Optimization Through Time-Dependent Hybrid Algorithm [BibTeX]	2007	Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, pp. 857-862	inproceedings	URL
BibTeX: @inproceedings{2007, author = {Olivera Ana C. and Frutos Mariano and Carballido Jessica A. and Brignole Nélida B.}, title = {Bus Network Optimization Through Time-Dependent Hybrid Algorithm}, booktitle = {Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications}, publisher = {IEEE Computer Society}, year = {2007}, pages = {857--862}, note = {http://dx.doi.org/10.1109/ISDA.2007.4389715}, url = {http://dl.acm.org/citation.cfm?id=1317534.1318219} }
Ana Carolina Olivera, Vidal, P.J., Baquela, E.G., Haderne, M., Stern, M.D.V. and Cavallo, G.	Inteligencia Computacional Aplicada A Movilidad Urbana [BibTeX]	2022	Libro de Actas WICC 2022, XXIV Edición del Workshop de investigadores en Ciencias de la Computación, pp. 51-53	inproceedings
BibTeX: @inproceedings{2022, author = {Ana Carolina Olivera and Pablo Javier Vidal and Enrique Gabriel Baquela and Marisa Haderne and Mariel Denise Volman Stern and Gastón Cavallo}, title = {Inteligencia Computacional Aplicada A Movilidad Urbana}, booktitle = {Libro de Actas WICC 2022, XXIV Edición del Workshop de investigadores en Ciencias de la Computación}, year = {2022}, pages = {51--53} }
Baquela, E.G. and Ana Carolina Olivera	Un enfoque multiobjetivo multinivel para resolver el problema de inversion de carriles de tráfico y sincronización de seáforos [BibTeX]	2016	Proceedings of the XVIII Latin-Iberoamerican Conference on Operations Research, CLAIO 2016	inproceedings
BibTeX: @inproceedings{Baquela2016a, author = {Enrique Gabriel Baquela and Ana Carolina Olivera}, title = {Un enfoque multiobjetivo multinivel para resolver el problema de inversion de carriles de tráfico y sincronización de seáforos}, booktitle = {Proceedings of the XVIII Latin-Iberoamerican Conference on Operations Research, CLAIO 2016}, year = {2016} }