16 citations · 23 across the 4 of their papers we have counts for
4 papers
A Distance Between Populations for n-Points Crossover in Genetic Algorithms
Mauro Castelli, Gianpiero Cattaneo, Luca Manzoni +1
Genetic algorithms (GAs) are an optimization technique that has been successfully used on many real-world problems. There exist different approaches to their theoretical study. In…
Unsure When to Stop? Ask Your Semantic Neighbors
Ivo Gonçalves, Sara Silva, Carlos M. Fonseca +1
In iterative supervised learning algorithms it is common to reach a point in the search where no further induction seems to be possible with the available data. If the search is co…
Combining Bayesian Approaches and Evolutionary Techniques for the Inference of Breast Cancer Networks
Stefano Beretta, Mauro Castelli, Ivo Goncalves +2
Gene and protein networks are very important to model complex large-scale systems in molecular biology. Inferring or reverseengineering such networks can be defined as the process…
An Efficient Genetic Programming System with Geometric Semantic Operators and its Application to Human Oral Bioavailability Prediction
Mauro Castelli, Luca Manzoni, Leonardo Vanneschi
Very recently new genetic operators, called geometric semantic operators, have been defined for genetic programming. Contrarily to standard genetic operators, which are uniquely ba…