• 1266 Citations
  • 18 h-Index
20092019
If you made any changes in Pure these will be visible here soon.

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.

  • 4 Similar Profiles
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 Recent external collaboration on country level. Dive into details by clicking on the dots.

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 journalArticle

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 journalArticle

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 proceedingConference 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 journalArticle

Symbolic Regression
Genetic programming
Parameter estimation
Supervised Classification
Wrapper
Genetic programming
Genetic Programming
Local Search
Forecasting
Innovation