Search Results for author:
Found 4 papers, 0 papers with code
A Performance Analysis of Basin Hopping Compared to Established Metaheuristics for Global Optimization
During the last decades many metaheuristics for global numerical optimization have been proposed.
Doubly Stochastic Matrix Models for Estimation of Distribution Algorithms
Specifically, we adopt the framework of estimation of distribution algorithms and compare DSMs to some existing proposals for permutation problems.
MALT-IT2: A New Resource to Measure Text Difficulty in Light of CEFR Levels for Italian L2 Learning
This paper presents a new resource for automatically assessing text difficulty in the context of Italian as a second or foreign language learning and teaching.
Measuring Text Complexity for Italian as a Second Language Learning Purposes
The selection of texts for second language learning purposes typically relies on teachers{'} and test developers{'} individual judgment of the observable qualitative properties of a text.
