CO22: Graphical Methods, Optimization and Learning (GOAL)

Grupo interdisciplinar basado en la Escuela Superior de Ingeniería de la Universidad de Cádiz, con capacidades y competencias en ciencia de datos, inteligencia artificial, optimización, internet de las cosas, procesamiento de lenguaje natural y visión artificial.

• Línea de Data Science & Machine Learning: Responsable David Gómez-Ullate.
• Línea de Optimización: Responsable Bernabé Dorronsoro. Optimización de problemas complejos con técnicas aproximadas (metaheurísticas) paralelas. Problemas combinatorios, continuos, mono/multi-objetivo, dinámicos y estáticos, con incertidumbre.

Ciencia de datos Machine Learning Optimización Procesamiento de lenguaje natural Internet de las cosas Visión artificial

• Principal Investigators:
  • David Gómez-Ullate Oteiza (PI).
  • Bernabé Dorronsoro Díaz (Co-PI).
• Investigators:
  • Patricia Ruiz Villalobos.
  • Pablo Pavón Domínguez.
  • Ángel Ruiz Zafra.
• Predoctoral Researchers:
  • Daniel Precioso Garcelán.
  • David Peña Morales.
  • Andrés Millán Alcaide.
• Technical Support Staff:
  • Javier Jiménez de la Jara (Técnico).
  • Francisco Amor Roldán (Técnico).

• Ministerio de Ciencia, Innovación y Universidades y FEDER . IP: Patricia Ruiz & Bernabé Dorronsoro. Sistemas Inteligentes de Transporte Urbano Sostenible (iSUN) [RTI2018-100754-B-I00].
• Ministerio de Economía, Industria y Competitividad (MINECO Automatic Generation of Parallel Aproximation Algorithms for Low Power Computing Architectures by means of Machine Learning (SAVANT) [TIN2014-60844-R].

• Secretaría General de Universidades, Investigación y Tecnología. Junta de Andalucía. IP: Bernabé Dorronsoro & Patricia Ruiz. Intelligent Generation of Sustainable Software (GENIUS) [PY18-2399].
• Programa Operativo FEDER Andalucía 2014-2020. IP: Bernabé Dorronsoro & David Gomez-Ullate. Optimization and Machine Learning: a two way trip with applications (OPTIMALE) [SOL-201800108393-TRA].

1. Gomez-Ullate, D; Grandati, Y; Milson, R-Complete classification of rational solutions of A(2n)-Painleve systems-ADVANCES IN MATHEMATICS-2021--385---10.1016/j.aim.2021.107770 QJCR2020:Q1-1,688.
2. Garcia-Ferrero, MA; Gomez-Ullate, D; Milson, R-Exceptional Legendre Polynomials and Confluent Darboux Transformations-SYMMETRY INTEGRABILITY AND GEOMETRY-METHODS AND APPLICATIONS-2021-17---16-10.3842/SIGMA.2021.016 QJCR2020:Q3-1,072.
3. Butt, FS; La Blunda, L; Wagner, MF; Schafer, J; Medina-Bulo, I; Gomez-Ullate, D-Fall Detection from Electrocardiogram (ECG) Signals and Classification by Deep Transfer Learning-INFORMATION-2021-12-2--63-10.3390/info12020063 QJCR2020:0-0.
4. Soto, C; Del Angel-Martinez, E; Fraire-Huacuja, H; Dorronsoro, B; Rangel, N; Cruz-Reyes, L-Two novel branch and bound algorithms for the vertex bisection problem-EXPERT SYSTEMS WITH APPLICATIONS-2022-190---116169-10.1016/j.eswa.2021.116169 QJCR2020:D1-6,954.
5. Massobrio, R; Nesmachnow, S; Palomo-Lozano, F; Dorronsoro, B-Virtual Savant as a generic learning approach applied to the basic independent Next Release Problem-APPLIED SOFT COMPUTING-2021-108---107374-10.1016/j.asoc.2021.107374 QJCR2020:D1-6,725.
6. Santiago, A; Dorronsoro, B; Fraire, HJ; Ruiz, P-Micro-Genetic algorithm with fuzzy selection of operators for multi-Objective optimization: mu FAME-SWARM AND EVOLUTIONARY COMPUTATION-2021-61---100818-10.1016/j.swevo.2020.100818 QJCR2020:D1-7,177.

1. C. Soto, B. Dorronsoro, H. Fraire, L. Cruz-Reyes, C. Gómez-Santillán, N. de investigación que Rangel, Solving the Multi-objective participen (si procede): Flexible Job Shop Scheduling Problem with a Novel Parallel Branch and Bound Algorithm, Swarm and Evolutionary Computation, vol. 53C, 100632, pp.1-16, 2020. ISSN 2210-6502. IF (2019): 6.912 (Q1).
2. T. Macias, L. Cruz-Reyes, H. Fraire Huacuja, B. Dorronsoro, Plane Separation: A method to solve dynamic multi-objective optimization problems with incorporated preferences, Future Generation Computer Systems 110, 864-875, 2020. ISSN 0167-739X. IF (2019): 6.125 (Q1).
3. J. C. de la Torre, R, Massobrio, P. Ruiz, S. Nesmachnow, B. Dorronsoro, Parallel Virtual Savant for the Heterogeneous Computing Scheduling Problem, Journal of Computational Science, vol. 39, 101048, pp. 1-12, 2020. ISSN 1877-7503. IF (2019): 2.644 (Q2).
4. R. Magán-Carrión, D. Urda, I. Diaz-Cano, B. Dorronsoro, Towards a Reliable Comparison and Evaluation of Network Intrusion Detection Systems Based on Machine Learning Approaches, Applied Sciences 10(5):1-21, 2020. IF (2019): 2.474 (Q2).
5. Peter A Clarkson, David Gómez-Ullate, Yves Grandati, and Robert Milson. Cyclic maya diagrams and rational solutions of higher order painlevé systems. Studies in Applied Mathematics, 144(3):357–385, 2020 Citations: 7 (Google Scholar), IF: 3.101, Rank: 13/260 (Q1) in Mathematics (JCR 2019).

1. A. Santiago, B. Dorronsoro, A. J. Nebro, J. J. Durillo, O. Castillo, H. Fraire, A Novel Multi-Objective Evolutionary Algorithm with Fuzzy Logic Based Adaptive Selection of Operators: FAME 471:233-251, Information Sciences, 2019. ISSN 0020-0255. IF (2019): 5.910 (Q1).
2. T. Macias-Escobar, L. Cruz-Reyes, B. Dorronsoro, H. Fraire-Huacuja, N. Rangel-Valdez, C. Gómez-Santillán, Application of Population Evolvability in a Hyper-Heuristic for Dynamic Multi-Objective Optimization, Technological and Economic Development of Economy 25(5):951-978, 2019. ISSN 2029-4913. IF (2019): 2.194 (Q1).
3. S. Iturriaga, S. Nesmachnow, G. Goñi, B. Dorronsoro, A. Tchernykh, Evolutionary Algorithms for Optimizing Cost and QoS on Cloud-based Content Distribution Networks, Programming and Computer Software 45(8):544-566. 2019. ISSN 0361-7688. IF (2019): 0.637 (Q4).
4. David Gómez-Ullate, Yves Grandati, and Robert Milson. Corrigendum on the proof of completeness for exceptional hermite polynomials. Journal of Approximation Theory, 253:105350, 2020 Citations: 2 (Google Scholar), IF: 0.865, Rank: 155/324 (Q2) in Mathematics (JCR 2019).
5. MaÁngeles García-Ferrero, David Gómez-Ullate, and Robert Milson. A bochner type characterization theorem for exceptional orthogonal polynomials. Journal of Mathematical Analysis and Applications, 472(1):584–626, 2019 Citations: 39 (Google Scholar), IF: 1.22, Rank: 77/324 (Q1) in Mathematics (JCR 2019).
6. Víctor Gallego, Pablo Suárez-García, Pablo Angulo, and David Gómez-Ullate. Assessing the effect of advertising expenditures upon sales: A bayesian structural time series model. Applied Stochastic Models in Business and Industry, 35(3):479–491, 2019 Citations: 2 (Google Scholar), IF: 1.175, Rank: 60/124 (Q2) in Statistics and Probability (JCR 2019).

1. F. Pinel, B. Dorronsoro, P. Bouvry, The Virtual Savant: Automatic Generation of Parallel Solvers, Information Sciences 432, pp. 411-430, 2018. ISSN 0020-0255. IF (2018): 5.524 (Q1).
2. M. Ruiz, J. Moreno, B. Dorronsoro, D. Rodriguez, Using Simulation-based Optimization in the Context of IT Service Management Change Process, Decision Support Systems 112:35-47, 2018. ISSN 0167-9236. IF (2018): 3.847 (Q1).
3. David Gómez-Ullate, Yves Grandati, and Robert Milson. Shape invariance and equivalence relations for pseudo-wronskians of laguerre and jacobi polynomials. Journal of Physics. A: Mathematical andTheoretical, 51(34):345201, 2018 Citations: 8 (Web of knowledge), IF: 2.110, Rank: 10/55 (Q1) in Mathematical Physics (JCR 2018).
4. David Gómez-Ullate, Yves Grandati, and Robert Milson. Durfee rectangles and pseudo-wronskian equivalences for hermite polynomials. Studies in Applied Mathematics, 141(4):596–625, 2018 Citations: 19 (Web of knowledge), IF: 1.824, Rank: 23/254 (Q1) in Applied Mathematics (JCR 2018).

1. S. Iturriaga, B. Dorronsoro, S. Nesmachnow, Multiobjective evolutionary algorithms for energy and service level scheduling in a federation of distributed datacenters, International Transactions in Operational Research 24:199-228, 2017. ISSN 0969-6016. IF (2017): 2.400 (Q2).
2. Juan Duque Rodríguez, David Gómez-Ullate, and Carlos Mejía-Monasterio. On the performance of blind-infotaxis under inaccurate modeling of the environment. The European Physical Journal Special Topics, 226(10):2407–2420, 2017 Citations: 13 (Web of knowledge), IF: 1.947, Rank: 31/78 (Q2) in Multidisciplinary Physics (JCR 2017).

1. D. G. Reina, P. Ruiz, R.-I. Ciobanu, S. Toral, B. Dorronsoro, C. Dobre, A survey on the Application of Evolutionary Algorithms for Mobile Multi-hop Ad Hoc Network Optimization Problems, International Journal of Distributed Sensor Networks, vol. 2016, Article ID 2082496, 13 pages, 2016. ISSN 1550-1329. IF (2016): 1.239 (Q3).
2. S. Iturriaga, S. Nesmachnow, P. Ruiz, P. Bouvry, B. Dorronsoro, AEDB Protocol Tuning with a Fast Efficient Parallel Multi-Objective Local Search, Int. J. of Ad Hoc and Ubiquitous Computing 17(2/3), pp. 144-161, 2014. ISSN 1743-8225. IF (2016): 1.239 (Q3).
3. D. Gómez-Ullate,A. Kasman, A. Kuijlaars and R. Milson, Recurrence relations for exceptional Hermite polynomials, J. Approx. Theory, 204, 1–26, (2016).Citations: 21 (Web of knowledge), IF: 0.951, Rank: 62/312 (Q1) in Mathematics (JCR 2014).

1. P. Ruiz, B. Dorronsoro, E.-G. Talbi, P. Bouvry, Finding a Robust Configuration for the AEDB Information Dissemination Protocol for Mobile Ad Hoc Networks,Applied Soft Computing Journal 32:494-508, 2015. ISSN 1568-4946. IF (2015): 2.857 (Q1).
2. S. Nesmachnow, S. Iturriaga, B. Dorronsoro, Efficient Heuristics for Profit Optimization of Virtual Cloud Brokers, IEEE Computational Intelligence Magazine, 10(1):33-43, 2015. ISSN 1556-603X. IF (2015): 3.647 (Q1).
3. S. Nesmachnow, S. Iturriaga, B. Dorronsoro, E.-G. Talbi, P. Bouvry, Metaheuristics for the Virtual Machine Mapping Problem in Clouds, Informatica International Journal 26(1):111-134, IOS Press, 2015. ISSN 0868-4952. IF (2015): 1.386 (Q1).

1. J. Schleich, G. Danoy, B. Dorronsoro, P. Bouvry, Optimising Small-World Properties in VANETs: Centralised and Distributed Overlay Approaches, Applied Soft Computing Journal, 21:637-646, 2014. ISSN 1568-4946. IF (2014): 2.810 (Q1).
2. M. Guzek, J. E. Pecero, B. Dorronsoro, P. Bouvry, Multi-objective Evolutionary Algorithms for Energy-aware Scheduling on Distributed Computing Systems, Applied Soft Computing Journal 24:432-446, 2014. ISSN 1568-4946. IF (2014): 2.810 (Q1).
3. J. L. J. Laredo, P. Bouvry, F. Guinand, B. Dorronsoro, C. Fernandes, The Sandpile Scheduler: How Self-organized Criticalitymay Lead to Dynamic Load-balancing, Cluster Computing, The Journal of Networks, Software Tools, and Applications 17(2):191-204, 2014. ISSN 1386-7857. IF (2014): 1.510 (Q1).

1. B. Dorronsoro, G. Danoy, A.J. Nebro, P. Bouvry, Achieving Super-linear Performance in Parallel Multi-objective Evolutionary Algorithms by Means of Cooperative Coevolution, Computers & Operations Research 40(6):1552-1563, 2013. ISSN 0305-0548. IF (2013): 1.718 (Q1).
2. P. Ruiz, B. Dorronsoro, P. Bouvry, Finding Scalable Configurations for AEDB Broadcasting Protocol using Multi-objective Evolutionary Algorithms, Cluster Computing, The Journal of Networks, Software Tools, and Applications 16(3):527-544, 2013. ISSN 1386-7857. IF (2013): 0.949 (Q1).
3. B. Dorronsoro, P. Bouvry, Cellular genetic algorithms without additional parameters, Journal of Supercomputing 63(3): 816-835, 2013. ISSN 0920-8542. IF (2013): 0.841 (Q1).
4. S. Iturriaga, S. Nesmachnow, B. Dorronsoro, P. Bouvry, Energy Efficient Scheduling in Heterogeneous Systems with a Parallel Multiobjective Local Search, Computing and Informatics Journal, 32(2):273-294, 2013. ISSN 1335-9150. IF (2013): 0.319 (Q4).

1. P. Ruiz, B. Dorronsoro, G. Valentini, F. Pinel, P. Bouvry, Optimisation of the Enhanced Distance Based Broadcasting Protocol for MANETs, Journal of Supercomputing 62(3):1213-1240, 2012. ISSN 0920-8542. IF (2012): 0.917 (Q2).

1. B. Dorronsoro, P. Bouvry, Improving Classical and Decentralized Differential Evolution with New Mutation Operator and Population Topologies, IEEE Transactions on Evolutionary Computation, 15(1):67-98, 2011. ISSN 1089-778X. IF (2011): 3.124 (Q1).

• Red de Excelencia en Ingeniería de Software Basada en Búsqueda (SEBASENet) [RED2018-102472-T] Financial Entity: Ministerio de Ciencia, Innovación y Universidades y FEDER Duration: From 01/01/2020 To 31/12/2021. Principal investigator: Inmaculada Medina-Bulo.