34 citations · 125 across the 25 of their papers we have counts for
12 papers · 1 filter
A Discrete Particle Swarm Optimizer for the Design of Cryptographic Boolean Functions
Luca Mariot, Alberto Leporati, Luca Manzoni
A Particle Swarm Optimizer for the search of balanced Boolean functions with good cryptographic properties is proposed in this paper. The algorithm is a modified version of the per…
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…
Evolutionary Strategies for the Design of Binary Linear Codes
Claude Carlet, Luca Mariot, Luca Manzoni +1
The design of binary error-correcting codes is a challenging optimization problem with several applications in telecommunications and storage, which has also been addressed with me…
The Influence of Local Search over Genetic Algorithms with Balanced Representations
Luca Manzoni, Luca Mariot, Eva Tuba
We continue the study of Genetic Algorithms (GA) on combinatorial optimization problems where the candidate solutions need to satisfy a balancedness constraint. It has been observe…
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…
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.…