16 citations · 31 across the 11 of their papers we have counts for
13 papers
Local Search, Semantics, and Genetic Programming: a Global Analysis
Fabio Anselmi, Mauro Castelli, Alberto d'Onofrio +3
Geometric Semantic Geometric Programming (GSGP) is one of the most prominent Genetic Programming (GP) variants, thanks to its solid theoretical background, the excellent performanc…
Combining Genetic Programming and Particle Swarm Optimization to Simplify Rugged Landscapes Exploration
Gloria Pietropolli, Giuliamaria Menara, Mauro Castelli
Most real-world optimization problems are difficult to solve with traditional statistical techniques or with metaheuristics. The main difficulty is related to the existence of a co…
The Effect of Multi-Generational Selection in Geometric Semantic Genetic Programming
Mauro Castelli, Luca Manzoni, Luca Mariot +2
Among the evolutionary methods, one that is quite prominent is Genetic Programming, and, in recent years, a variant called Geometric Semantic Genetic Programming (GSGP) has shown t…
GSGP-CUDA -- a CUDA framework for Geometric Semantic Genetic Programming
Leonardo Trujillo, Jose Manuel Muñoz Contreras, Daniel E Hernandez +2
Geometric Semantic Genetic Programming (GSGP) is a state-of-the-art machine learning method based on evolutionary computation. GSGP performs search operations directly at the level…
Salp Swarm Optimization: a Critical Review
Mauro Castelli, Luca Manzoni, Luca Mariot +2
In the crowded environment of bio-inspired population-based metaheuristics, the Salp Swarm Optimization (SSO) algorithm recently appeared and immediately gained a lot of momentum.…
Towards an evolutionary-based approach for natural language processing
Luca Manzoni, Domagoj Jakobovic, Luca Mariot +2
Tasks related to Natural Language Processing (NLP) have recently been the focus of a large research endeavor by the machine learning community. The increased interest in this area…