17 citations · 91 across the 17 of their papers we have counts for
5 papers · 1 filter
Ensemble Feature Extraction for Multi-Container Quality-Diversity Algorithms
Leo Cazenille
Quality-Diversity algorithms search for large collections of diverse and high-performing solutions, rather than just for a single solution like typical optimisation methods. They a…
Comparing reliability of grid-based Quality-Diversity algorithms using artificial landscapes
Leo Cazenille
Quality-Diversity (QD) algorithms are a recent type of optimisation methods that search for a collection of both diverse and high performing solutions. They can be used to effectiv…
Automatic Calibration of Artificial Neural Networks for Zebrafish Collective Behaviours using a Quality Diversity Algorithm
Leo Cazenille, Nicolas Bredeche, José Halloy
During the last two decades, various models have been proposed for fish collective motion. These models are mainly developed to decipher the biological mechanisms of social interac…
Exploration and Exploitation in Symbolic Regression using Quality-Diversity and Evolutionary Strategies Algorithms
J. -P. Bruneton, L. Cazenille, A. Douin +1
By combining Genetic Programming, MAP-Elites and Covariance Matrix Adaptation Evolution Strategy, we demonstrate very high success rates in Symbolic Regression problems. MAP-Elites…
How to Blend a Robot within a Group of Zebrafish: Achieving Social Acceptance through Real-time Calibration of a Multi-level Behavioural Model
Leo Cazenille, Yohann Chemtob, Frank Bonnet +4
We have previously shown how to socially integrate a fish robot into a group of zebrafish thanks to biomimetic behavioural models. The models have to be calibrated on experimental…