Research Output per year
Fingerprint Dive into the research topics where Leonardo Vanneschi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Genetic programming
Engineering & Materials Science
Genetic Programming
Mathematics
Semantics
Engineering & Materials Science
Alignment
Mathematics
Multi-class Classification
Mathematics
Evolutionary algorithms
Engineering & Materials Science
Genetic Operators
Mathematics
Genetic algorithms
Engineering & Materials Science
Network
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Research Output 2009 2019
A distance between populations for n-points crossover in genetic algorithms
Castelli, M., Cattaneo, G., Manzoni, L. & Vanneschi, L., Feb 2019, In : Swarm and Evolutionary Computation. 44, February, p. 636-645 10 p.Research output: Contribution to journal › Article
Crossover
Genetic algorithms
Genetic Algorithm
Polynomials
Pretopology
2
Citations
(Scopus)
Alignment-based genetic programming for real life applications
Vanneschi, L., Castelli, M., Scott, K. & Trujillo, L., Feb 2019, In : Swarm and Evolutionary Computation. 44, February, p. 840-851 12 p.Research output: Contribution to journal › Article
Genetic programming
Genetic Programming
Alignment
Optimal Solution
Direct Search
A Vectorial Approach to Genetic Programming
Azzali, I., Vanneschi, L., Silva, S., Bakurov, I. & Giacobini, M., 1 Jan 2019, Genetic Programming: 22nd European Conference, EuroGP 2019, Held as Part of EvoStar 2019, Proceedings. Lourenço, N., Hu, T., Richter, H., Sekanina, L. & García-Sánchez, P. (eds.). Switzerland: Springer Verlag, p. 213-227 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11451 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Genetic programming
Genetic Programming
Time series
Symbolic Regression
Comparative Analysis
Evolving multidimensional transformations for symbolic regression with M3GP
Muñoz, L., Trujillo, L., Silva, S., Castelli, M. & Vanneschi, L., 1 Jun 2019, In : Memetic computing. 11, 2, p. 111–126 16 p.Research output: Contribution to journal › Article
Symbolic Regression
Genetic programming
Parameter estimation
Supervised Classification
Wrapper
Forecasting performance of regional innovation systems using semantic-based genetic programming with local search optimizer
Hajek, P., Henriques, R., Castelli, M. & Vanneschi, L., Jun 2019, In : Computers and Operations Research. 106, June, p. 179-190 11 p.Research output: Contribution to journal › Article
Genetic programming
Genetic Programming
Local Search
Forecasting
Innovation