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Article
GSGP-hardware: instantaneous symbolic regression with an FPGA implementation of geometric semantic genetic programming
Geometric Semantic Genetic Programming (GSGP) proposed an important enhancement to GP-based learning, incorporating search operators that operate directly on the semantics of the parents with bounded effects o...
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Article
Geometric semantic genetic programming with normalized and standardized random programs
Geometric semantic genetic programming (GSGP) represents one of the most promising developments in the area of evolutionary computation (EC) in the last decade. The results achieved by incorporating semantic a...
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Book
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Article
Introduction to special issue on highlights of genetic programming 2022 events
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Article
Introduction to the peer commentary special section on “Jaws 30” by W. B. Langdon
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Article
Domain-adaptive pre-training on a BERT model for the automatic detection of misogynistic tweets in Spanish
Violence against women is a major social issue. One in every three women worldwide has been subjected to physical or sexual violence. The pervasive violence against women in the physical world, the ever-growin...
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Living Reference Work Entry In depth
A Variant of Parallel-Hybrid Genetic Algorithm for Large-Scale Traveling Salesman Problem
This research proposes a low-complexity parallel-hybrid genetic algorithm evolved in an island model to solve large instances of the traveling salesman problem. In order to increase the diversity of individual...
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Book
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Article
Editorial Introduction
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Book
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Article
Preface to the special issue on data science in dynamics and control
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Article
Transfer learning in constructive induction with Genetic Programming
Transfer learning (TL) is the process by which some aspects of a machine learning model generated on a source task is transferred to a target task, to simplify the learning required to solve the target. TL in ...
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Article
On the analysis of hyper-parameter space for a genetic programming system with iterated F-Race
Evolutionary algorithms (EAs) have been with us for several decades and are highly popular given that they have proved competitive in the face of challenging problems’ features such as deceptiveness, multiple ...
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Article
Special Issue on Integrating numerical optimization methods with genetic programming
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Chapter and Conference Paper
Is k Nearest Neighbours Regression Better Than GP?
This work starts from the empirical observation that k nearest neighbours (KNN) consistently outperforms state-of-the-art techniques for regression, including geometric semantic genetic programming (GSGP). Howeve...
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Article
Applying genetic improvement to a genetic programming library in C++
A young subfield of evolutionary computing that has gained the attention of many researchers in recent years is genetic improvement. It uses an automated search method that directly modifies the source code or...
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Article
Local search in speciation-based bloat control for genetic programming
This work presents a unique genetic programming (GP) approach that integrates a numerical local search method and a bloat-control mechanism to address some of the main issues with traditional GP. The former pr...
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Article
Evolving multidimensional transformations for symbolic regression with M3GP
Multidimensional Multiclass Genetic Programming with Multidimensional Populations (M3GP) was originally proposed as a wrapper approach for supervised classification. M3GP searches for transformations of the form
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Article
Comparison of a genetic programming approach with ANFIS for power amplifier behavioral modeling and FPGA implementation
Accurate modeling of power amplifiers (PA) is of upmost importance in the design process of wireless communication systems where a high linearity and efficiency is required. To deal with the nonlinear behavior...
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Chapter
Untapped Potential of Genetic Programming: Transfer Learning and Outlier Removal
In the era of Deep Learning and Big Data, the place of Genetic Programming (GP) within the Machine Learning area seems difficult to define. Whether it is due to technical constraints or conceptual barriers, GP...
