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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 2 Similar Profiles
Genetic programming Engineering & Materials Science
Genetic Programming Mathematics
Semantics Engineering & Materials Science
Alignment Mathematics
Genetic Operators Mathematics
Local Search Mathematics
Genetic algorithms Engineering & Materials Science
Artificial intelligence Engineering & Materials Science

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Research Output 2009 2019

  • 1227 Citations
  • 18 h-Index
  • 59 Article
  • 34 Chapter
  • 33 Conference contribution
  • 1 Review article

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

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

Genetic programming with semantic equivalence classes

Ruberto, S., Vanneschi, L. & Castelli, M., Feb 2019, In : Swarm and Evolutionary Computation. 44, February, p. 453-469 17 p.

Research output: Contribution to journalArticle

Equivalence classes
Genetic programming
Equivalence class
Genetic Programming
Semantics
1 Citation (Scopus)

Multidimensional genetic programming for multiclass classification

La Cava, W., Silva, S., Danai, K., Spector, L., Vanneschi, L. & Moore, J. H., Feb 2019, In : Swarm and Evolutionary Computation. 44, February, p. 260-272 12 p.

Research output: Contribution to journalArticle

Multi-class Classification
Genetic programming
Genetic Programming
Feature Space
Dimensionality

Multiobjective Metaheuristic to Design RNA Sequences

Rubio-Largo, A., Vanneschi, L., Castelli, M. & Vega-Rodriguez, M. A., Feb 2019, In : IEEE Transactions on Evolutionary Computation. 23, 1, 14 p.

Research output: Contribution to journalArticle

RNA
Metaheuristics
Folding
Ensemble
Target