M
Mario Giacobini
Researcher at University of Turin
Publications - 128
Citations - 2715
Mario Giacobini is an academic researcher from University of Turin. The author has contributed to research in topics: Genetic programming & Evolutionary algorithm. The author has an hindex of 23, co-authored 116 publications receiving 2428 citations. Previous affiliations of Mario Giacobini include University of Lausanne.
Papers
More filters
Book
Applications of Evolutionary Computing
Mario Giacobini,Anthony Brabazon,Stefano Cagnoni,Gianni A. Di Caro,Anikó Ekárt,Anna I. Esparcia-Alcázar,Muddassar Farooq,Andreas Fink,Penousal Machado +8 more
TL;DR: EvoCOMNET Contributions.- Web Application Security through Gene Expression Programming, Location Discovery in Wireless Sensor Networks Using a Two-Stage Simulated Annealing, and more.
Journal ArticleDOI
Hawks and Doves on small-world networks.
TL;DR: The overall result is that cooperation is sometimes inhibited and sometimes enhanced in networks with topologies ranging from regular lattices to random graphs with small-world networks in between, with respect to the mixing population case.
Journal ArticleDOI
A review of methods for imbalanced multi-label classification
TL;DR: A comprehensive survey of the state-of-the-art methods for imbalanced multi-label classification is provided in this paper, including the characteristics of imbalanced multilabel datasets, evaluation measures and comparative analysis of the proposed methods.
Journal ArticleDOI
Selection intensity in cellular evolutionary algorithms for regular lattices
TL;DR: Theoretical results are in agreement with experimental values, showing that the selection intensity can be controlled by using different update methods, and it is seen that the usual logistic approximation breaks down for low-dimensional lattices and should be replaced by a polynomial approximation.
Proceedings ArticleDOI
Takeover time curves in random and small-world structured populations
TL;DR: It is shown that, to good approximation, randomly structured and panmictic populations have the some growth behavior and that global selection intensity depends on the update policy.