Explainable artificial intelligence by genetic programming: A survey
Explainable artificial intelligence (XAI) has received great interest in the recent decade, due
to its importance in critical application domains, such as self-driving cars, law, and …
to its importance in critical application domains, such as self-driving cars, law, and …
A survey on evolutionary machine learning
Artificial intelligence (AI) emphasises the creation of intelligent machines/systems that
function like humans. AI has been applied to many real-world applications. Machine …
function like humans. AI has been applied to many real-world applications. Machine …
Component design optimisation based on artificial intelligence in support of additive manufacturing repair and restoration: Current status and future outlook for …
Abstract The Circular Economy concept aims to ensure environmental sustainability through
the recovery of durable products that have reached the end of their useable life. Recovery …
the recovery of durable products that have reached the end of their useable life. Recovery …
Epsilon-lexicase selection for regression
Lexicase selection is a parent selection method that considers test cases separately, rather
than in aggregate, when performing parent selection. It performs well in discrete error …
than in aggregate, when performing parent selection. It performs well in discrete error …
Feature selection to improve generalization of genetic programming for high-dimensional symbolic regression
When learning from high-dimensional data for symbolic regression (SR), genetic
programming (GP) typically could not generalize well. Feature selection, as a data …
programming (GP) typically could not generalize well. Feature selection, as a data …
A Probabilistic and Multi-Objective Analysis of Lexicase Selection and -Lexicase Selection
Lexicase selection is a parent selection method that considers training cases individually,
rather than in aggregate, when performing parent selection. Whereas previous work has …
rather than in aggregate, when performing parent selection. Whereas previous work has …
A genetic algorithm for optimizing the label ordering in multi-label classifier chains
First proposed in 2009, the classifier chains model (CC) has become one of the most
influential algorithms for multi-label classification. It is distinguished by its simple and …
influential algorithms for multi-label classification. It is distinguished by its simple and …
Problem-solving benefits of down-sampled lexicase selection
In genetic programming, an evolutionary method for producing computer programs that
solve specified computational problems, parent selection is ordinarily based on aggregate …
solve specified computational problems, parent selection is ordinarily based on aggregate …
Improving generalization of genetic programming for symbolic regression with angle-driven geometric semantic operators
Geometric semantic genetic programming (GP) has recently attracted much attention. The
key innovations are inducing a unimodal fitness landscape in the semantic space and …
key innovations are inducing a unimodal fitness landscape in the semantic space and …
[KÖNYV][B] Behavioral program synthesis with genetic programming
K Krawiec - 2016 - Springer
Behavioral Program Synthesis with Genetic Programming Page 1 Studies in Computational
Intelligence 618 Krzysztof Krawiec Behavioral Program Synthesis with Genetic Programming …
Intelligence 618 Krzysztof Krawiec Behavioral Program Synthesis with Genetic Programming …