An investigation of geometric semantic gp with linear scaling

G Nadizar, F Garrow, B Sakallioglu… - Proceedings of the …, 2023 - dl.acm.org
Geometric semantic genetic programming (GSGP) and linear scaling (LS) have both,
independently, shown the ability to outperform standard genetic programming (GP) for …

A semantic genetic programming framework based on dynamic targets

S Ruberto, V Terragni, JH Moore - Genetic Programming and Evolvable …, 2021 - Springer
Semantic GP is a promising branch of GP that introduces semantic awareness during
genetic evolution to improve various aspects of GP. This paper presents a new Semantic GP …

Geometric semantic GP with linear scaling: Darwinian versus Lamarckian evolution

G Nadizar, B Sakallioglu, F Garrow, S Silva… - … and Evolvable Machines, 2024 - Springer
Abstract Geometric Semantic Genetic Programming (GSGP) has shown notable success in
symbolic regression with the introduction of Linear Scaling (LS). This achievement stems …

A Comparative Study of GP-based and State-of-the-art Classifiers on a Synthetic Machine Learning Benchmark

P Orzechowski, P Renc, W La Cava, JH Moore… - Proceedings of the …, 2022 - dl.acm.org
In this paper we compare performance of genetic programming-based symbolic classifiers
on a novel synthetic machine learning benchmark called DIGEN. This framework and …

A Study of Geometric Semantic Genetic Programming with Linear Scaling

B Sakallioglu - 2023 - search.proquest.com
Abstract Machine Learning (ML) is a scientific discipline that endeavors to enable computers
to learn without the need for explicit programming. Evolutionary Algorithms (EAs), a subset …

A New Feature Selection Method Based on Game Theory and Genetic Programming

MA Suciu, RI Lung - Available at SSRN 4996267 - papers.ssrn.com
Feature selection is one of the central tasks in machine learning research as it can
contribute both to the computational complexity and interpretability of a model. While the first …

[PDF][PDF] MMAA

B Sakallioglu - run.unl.pt
Abstract Machine Learning (ML) is a scientific discipline that endeavors to enable computers
to learn without the need for explicit programming. Evolutionary Algorithms (EAs), a subset …