Investigating multi-feature selection and ensembling for audio classification
Deep Learning (DL) algorithms have shown impressive performance in diverse domains.
Among them, audio has attracted many researchers over the last couple of decades due to …
Among them, audio has attracted many researchers over the last couple of decades due to …
Extending program synthesis grammars for grammar-guided genetic programming
Program synthesis is a problem domain that due to its importance is tackled by many
different fields, one being Genetic Programming. Two variants, Grammar-Guided Genetic …
different fields, one being Genetic Programming. Two variants, Grammar-Guided Genetic …
A review of genetic programming: Popular techniques, fundamental aspects, software tools and applications
Genetic Programming (GP) is one of the evolutionary computation (EC) methods followed
with great interest by many researchers. When GP first appeared, it has become a popular …
with great interest by many researchers. When GP first appeared, it has become a popular …
A hybrid algorithm for multi-objective test case selection
Testing is crucial to ensure the quality of software systems-but testing is an expensive
process, so test managers try to minimise the set of tests to run to save computing resources …
process, so test managers try to minimise the set of tests to run to save computing resources …
Enhancing Program Synthesis with Large Language Models Using Many-Objective Grammar-Guided Genetic Programming
The ability to automatically generate code, ie, program synthesis, is one of the most
important applications of artificial intelligence (AI). Currently, two AI techniques are leading …
important applications of artificial intelligence (AI). Currently, two AI techniques are leading …
Program synthesis with generative pre-trained transformers and grammar-guided genetic programming grammar
Grammar-Guided Genetic Programming (G3P) is widely recognised as one of the most
successful approaches to program synthesis. Using a set of input/output tests, G3P evolves …
successful approaches to program synthesis. Using a set of input/output tests, G3P evolves …
Multi-objective grammar-guided genetic programming with code similarity measurement for program synthesis
Grammar-Guided Genetic Programming (G3P) is widely recognised as one of the most
successful approaches for program synthesis, ie, the task of automatically discovering an …
successful approaches for program synthesis, ie, the task of automatically discovering an …
Grammar-obeying program synthesis: A novel approach using large language models and many-objective genetic programming
Program synthesis is an important challenge that has attracted significant research interest,
especially in recent years with advancements in Large Language Models (LLMs). Although …
especially in recent years with advancements in Large Language Models (LLMs). Although …
A multi-level grammar approach to grammar-guided genetic programming: the case of scheduling in heterogeneous networks
The scale at which the human race consumes data has increased exponentially in recent
years. One key part in this increase has been the usage of smart phones and connected …
years. One key part in this increase has been the usage of smart phones and connected …
Assessing similarity-based grammar-guided genetic programming approaches for program synthesis
Abstract Grammar-Guided Genetic Programming is widely recognised as one of the most
successful approaches for program synthesis, ie, the task of automatically discovering an …
successful approaches for program synthesis, ie, the task of automatically discovering an …