activity
20222024
most citedContext Matters: Adaptive Mutation for Grammars

6 citations · 16 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2024

GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS

Gabriel Cortês, Nuno Lourenço, Penousal Machado

Artificial Intelligence (AI) has driven innovations and created new opportunities across various sectors. However, leveraging domain-specific knowledge often requires automated too…

cs.NE2024

Towards Physical Plausibility in Neuroevolution Systems

Gabriel Cortês, Nuno Lourenço, Penousal Machado

The increasing usage of Artificial Intelligence (AI) models, especially Deep Neural Networks (DNNs), is increasing the power consumption during training and inference, posing envir…

cs.HC2024★ 2 cited

Boosting Mixed-Initiative Co-Creativity in Game Design: A Tutorial

Solange Margarido, Licínio Roque, Penousal Machado +1

In recent years, there has been a growing application of mixed-initiative co-creative approaches in the creation of video games. The rapid advances in the capabilities of artificia…

cs.NE2023

All You Need Is Sex for Diversity

José Maria Simões, Nuno Lourenço, Penousal Machado

Maintaining genetic diversity as a means to avoid premature convergence is critical in Genetic Programming. Several approaches have been proposed to achieve this, with some focusin…

cs.NE2023★ 6 cited

Context Matters: Adaptive Mutation for Grammars

Pedro Carvalho, Jessica Mégane, Nuno Lourenço +1

This work proposes Adaptive Facilitated Mutation, a self-adaptive mutation method for Structured Grammatical Evolution (SGE), biologically inspired by the theory of facilitated var…

cs.NE2023

Structured mutation inspired by evolutionary theory enriches population performance and diversity

Stefano Tiso, Pedro Carvalho, Nuno Lourenço +1

Grammar-Guided Genetic Programming (GGGP) employs a variety of insights from evolutionary theory to autonomously design solutions for a given task. Recent insights from evolutionar…

cs.NE2022★ 4 cited

Probabilistic Structured Grammatical Evolution

Jessica Mégane, Nuno Lourenço, Penousal Machado

The grammars used in grammar-based Genetic Programming (GP) methods have a significant impact on the quality of the solutions generated since they define the search space by restri…

cs.NE2022★ 4 cited

Co-evolutionary Probabilistic Structured Grammatical Evolution

Jessica Mégane, Nuno Lourenço, Penousal Machado

This work proposes an extension to Structured Grammatical Evolution (SGE) called Co-evolutionary Probabilistic Structured Grammatical Evolution (Co-PSGE). In Co-PSGE each individua…