4   Artículos

 
en línea
Tommaso Adamo, Gianpaolo Ghiani, Emanuela Guerriero and Deborah Pareo    
In this paper we exploit concepts from Information Theory to improve the classical Chvatal greedy algorithm for the set covering problem. In particular, we develop a new greedy procedure, called Surprisal-Based Greedy Heuristic (SBH), incorporating the c... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Gianpaolo Ghiani, Tommaso Adamo, Pierpaolo Greco and Emanuela Guerriero    
In recent years, there have been several attempts to use machine learning techniques to improve the performance of exact and approximate optimization algorithms. Along this line of research, the present paper shows how supervised and unsupervised techniq... ver más
Revista: Algorithms    Formato: Electrónico

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