16 citations · 31 across the 11 of their papers we have counts for
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cs.NE2021
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…
cs.NE2021★ 2 cited
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.…