Operon C++ an efficient genetic programming framework for symbolic regression
Genetic Programming (GP) is a dynamic field of research where empirical testing plays an
important role in validating new ideas and algorithms. The ability to easily prototype new …
important role in validating new ideas and algorithms. The ability to easily prototype new …
Tensorgp–genetic programming engine in tensorflow
In this paper, we resort to the TensorFlow framework to investigate the benefits of applying
data vectorization and fitness caching methods to domain evaluation in Genetic …
data vectorization and fitness caching methods to domain evaluation in Genetic …
Incremental evaluation in genetic programming
WB Langdon - European Conference on Genetic Programming (Part …, 2021 - Springer
Often GP evolves side effect free trees. These pure functional expressions can be evaluated
in any order. In particular they can be interpreted from the genetic modification point …
in any order. In particular they can be interpreted from the genetic modification point …
Fitness first
WB Langdon - Genetic Programming Theory and Practice XVIII, 2022 - Springer
With side effect free terminals and functions it is possible to evaluate the fitness of genetic
programming trees from their parents without creating them. This allows selection before …
programming trees from their parents without creating them. This allows selection before …
Accelerating GP Genome Evaluation Through Real Compilation with a Multiple Program Single Data Approach
Genetic Programming (GP) presents a unique challenge in fitness evaluation due to the
need to repeatedly execute the evolved programs, often represented as tree structures, to …
need to repeatedly execute the evolved programs, often represented as tree structures, to …
Exploring genetic programming in TensorFlow with TensorGP
In this paper, we resort to the TensorFlow framework to investigate the benefits of applying
data vectorization and fitness caching methods to domain evaluation in Genetic …
data vectorization and fitness caching methods to domain evaluation in Genetic …
A Trillion Genetic Programming Instructions per Second
WB Langdon - arXiv preprint arXiv:2205.03251, 2022 - arxiv.org
We summarise how a 3.0 GHz 16 core AVX512 computer can interpret the equivalent of up
to on average 1103370000000 GPop/s. Citations to existing publications are given …
to on average 1103370000000 GPop/s. Citations to existing publications are given …
Island model in actodata: an actor-based implementation of a classical distributed evolutionary computation paradigm
G Petrosino, F Bergenti, G Lombardo… - Proceedings of the …, 2021 - dl.acm.org
In this paper, we make a first assessment of the performance of ActoDatA, a novel actor-
based software library for distributed data analysis and machine learning in Java that we …
based software library for distributed data analysis and machine learning in Java that we …
[引用][C] Otimizaçao de Desempenho em Código Interpretador de Programaçao Genética
LB Oliveira, AL Fazenda, VV de Melo - Anais da XII Escola Regional de Alto …, 2021 - SBC
[引用][C] Análise Preliminar de Desempenho de Interpretação Paralela de Indivíduos de Programação Genética
LB Oliveira, AL Fazenda, VV Melo - Escola Regional de Alto Desempenho de …, 2020 - SBC