Graphical Methods, Optimization, and Learning

Submitted by francisco.grimaldi on Tue, 07/07/2020 - 08:53
University
Faculty/school/department
FACULTAD DE CIENCIAS, INGENIERIA INFORMATICA, LENGUAJES Y SISTEMAS INFORMATICOS
Size of the team
number of researchers number of supporting staff number of PhD students
12
0
0
PI
PI name
DORRONSORO DÍAZ BERNABÉ
PI bio

Invest.Posdoctoral Ramón y Cajal

I am a Ramón y Cajal researcher, with 7.5 years experience abroad (2 as Marie Curie Fellow). I have participated in 18 projects, in 8 of them as PI (for an amount of 742.000€). I am invited professor at the universities of the Republic (URY) and Buenos Aires (ARG), and I have been invited plenary speaker in several international events. My main research lines deal with sustainable computing and transportation, machine learning, high performance computing, the Cloud, or mobile ad hoc networks. Among my published work, I have 4 books and 45 journal papers (19 Q1 and 9 Q2), and several of my publications have more than 300 references. I am associate editor of an international journal and member of the editorial committee of five more. I am supervisor of 6 PhD theses (two of them are finished).

Contact person and e-mail
Contact person
DORRONSORO DÍAZ BERNABÉ
Contact person e-mail
WWW
Short description of research profile

- Metaheuristics and soft-computing

Scientific Themes (keywords)
Publications

Representative publications

Solving the Multi-objective Flexible Job Shop Scheduling Problem with a Novel Parallel Branch and Bound Algorithm C. Soto, B. Dorronsoro, H. Fraire, L. Cruz-Reyes, C. Gómez-Santillán, N. Rangel Swarm and Evolutionary Computation   (2020) Vol: 53C. Pgs: 1-16 10.1016/j.swevo.2019.100632
A Conjecture on Exceptional Orthogonal Polynomials D. Gómez-Ullate, N. Kamran and R. Milson D. Gómez-Ullate, N. Kamran and R. Milson, A Conjecture on Exceptional Orthogonal Polynomials, Found. Comput. Math. 13(4):615-666, 2014. IF: 3.615 - Posición: 2 de 289 - Q1 10.1007/s10208-012-9128-6
Improving Classical and Decentralized Differential Evolution with New Mutation Operator and Population Topologies B. Dorronsoro, P. Bouvry 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. IF: 3.341 - Posición 3 de 99 - Q1 10.1109/TEVC.2010.2081369  
Survey on Broadcast Algorithms for Mobile Ad hoc Networks P. Ruiz and P. Bouvry P. Ruiz and P. Bouvry. Survey on Broadcast Algorithms for Mobile Ad hoc Networks. ACM Computing Surveys. Vol 48, Issue 1. Article 8. 2015. IF: 5,243 - Posición 2 de 105 - Q1 10.1145/2786005
Plane Separation: A method to solve dynamic multi-objective optimization problems with incorporated preferences T. Macias, L. Cruz-Reyes, H. Fraire Huacuja, B. Dorronsoro T. Macias, et al., Plane Separation: A method to solve dynamic multi-objective optimization problems with incorporated preferences, Future Generation Computer Systems, in press, 2020. FI: 5.768 - Posición 8 de 105 - Q1 10.1016/j.future.2019.10.039

Link to extended list of publication

Technology Expertise

GOAL research group is an interdisciplinary group composed by researchers with different backgrounds as Computer Science, Telecomunications, Agricultural Engineering, and Physicists. The main research lines in GOAL are the optimization of complex problems, machine learning, data science, multifractal analysis, dynamic networks, Internet of Things, Cybersecurity, the design of methods based on graphical representations, sustainable computing, as well as the synergies among those fields. GOAL has a high international impact thanks to the 30 research projects in which GOAL members have been involved in the last 5 years, the various books they published, and the more than 100 published journal papers with high impact factor. Moreover, GOAL members keep active collaborations with other research groups from worldwide recognized institutions.