A vectorial approach to genetic programming

I Azzali, L Vanneschi, S Silva, I Bakurov… - European Conference on …, 2019 - Springer
Among the various typologies of problems to which Genetic Programming (GP) has been
applied since its origins, symbolic regression is one of the most popular. A common situation …

Supporting medical decisions for treating rare diseases through genetic programming

I Bakurov, M Castelli, L Vanneschi… - … 2019, Held as Part of …, 2019 - Springer
Casa dos Marcos is the largest specialized medical and residential center for rare diseases
in the Iberian Peninsula. The large number of patients and the uniqueness of their diseases …

Pso-based search rules for aerial swarms against unexplored vector fields via genetic programming

P Bartashevich, I Bakurov, S Mostaghim… - Parallel Problem Solving …, 2018 - Springer
In this paper, we study Particle Swarm Optimization (PSO) as a collective search mechanism
for individuals (such as aerial micro-robots) which are supposed to search in environments …

Impact of communication topology on pso-based swarms in vector fields

P Bartashevich, D Koerte… - 2020 IEEE Symposium …, 2020 - ieeexplore.ieee.org
This paper studies the role of communication topologies in swarms performing the search
under strong negative influence coming from the unknown external environment affecting …

Towards a Vectorial Approach to Predict Beef Farm Performance

F Abbona, L Vanneschi, M Giacobini - Applied Sciences, 2022 - mdpi.com
Accurate livestock management can be achieved by means of predictive models. Critical
factors affecting the welfare of intensive beef cattle husbandry systems can be difficult to be …

[PDF][PDF] TOWARDS THE DEVELOPMENT OF INFORMATION SYSTEM IN PRECISION FARMING FOR THE REARING OF PIEMONTESE BOVINES

F Abbona - 2021 - iris.unito.it
In this Chapter the first approach adopted with ML techniques is presented. In particular, GP
was adopted among the different techniques. Thanks to its structural characteristics …

[PDF][PDF] ENHANCING MACHINE LEARNING APPROACHES FOR BIODATA MINING IN VETERINARY SCIENCES

I Azzali - 2021 - iris.unito.it
Vectorial Genetic Programming (VE_GP) has already revealed advantages in benchmark
problems, chapter 6, but noteworthy are the results on the real prediction of time series data …

[PDF][PDF] Ensemble Learning with GSGP

GAU Olivier - 2020 - run.unl.pt
The purpose of this thesis is to conduct comparative research between Genetic
Programming (GP) and Geometric Semantic Genetic Programming (GSGP), with different …

Investigating the Use of Geometric Semantic Operators in Vectorial Genetic Programming

I Azzali, L Vanneschi, M Giacobini - European Conference on Genetic …, 2020 - Springer
Abstract Vectorial Genetic Programming (VE_GP) is a new GP approach for panel data
forecasting. Besides permitting the use of vectors as terminal symbols to represent time …

Ensemble Learning with GSGP

O Gau - 2020 - search.proquest.com
The purpose of this thesis is to conduct comparative research between Genetic
Programming (GP) and Geometric Semantic Genetic Programming (GSGP), with different …