Bayesian Quality-Diversity optimization for conditional search-space problems
- 16 November 2025
- journal article
- research article
- Published by Springer Nature in Optimization and Engineering
- Vol. 27 (2) , 1161-1206
Abstract
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Funding Information
- Institut Supérieur de l'Aéronautique et de l'Espace
- Office National d'études et de Recherches Aérospatiales
- Chair for Advanced Space Concepts (SaCLab), partnership between Airbus Defence and Space, Ariane Group, and ISAE-SUPAERO
This publication has 58 references indexed in Scilit:
- Quality-Diversity Optimization: A Novel Branch of Stochastic Optimization2021
- Designing Air Flow with Surrogate-Assisted Phenotypic Niching2020
- Overview and Comparison of Gaussian Process-Based Surrogate Models for Mixed Continuous and Discrete Variables: Application on Aerospace Design Problems2019
- Auto-WEKA: Automatic Model Selection and Hyperparameter Optimization in WEKA2019
- A benchmark of kriging-based infill criteria for noisy optimizationStructural and Multidisciplinary Optimization, 2013
- Novelty Search and the Problem with Objectives2011
- Kriging Is Well-Suited to Parallelize Optimization2010
- A Review of Particle Swarm Optimization Methods Used for Multimodal Optimization2009
- A Gender-Based Genetic Algorithm for the Automatic Configuration of Algorithms2009
- Physical Experiments and Computer Experiments2003