Multi-objective quality diversity optimization-Reference-Cited by-同舟云学术

Multi-objective quality diversity optimization

Published:2022-07-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference
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Author:

Pierrot Thomas¹,Richard Guillaume¹,Beguir Karim¹,Cully Antoine²

Affiliation:

1. InstaDeep, Paris, France

2. Imperial College London, London, United Kingdom

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3512290.3528823

Reference38 articles.

1. James Bradbury , Roy Frostig , Peter Hawkins , Matthew James Johnson , Chris Leary, Dougal Maclaurin, George Necula, Adam Paszke, Jake VanderPlas, Skye Wanderman-Milne, and Qiao Zhang. 2018 . JAX: composable transformations of Python +NumPy programs. http://github.com/google/jax James Bradbury, Roy Frostig, Peter Hawkins, Matthew James Johnson, Chris Leary, Dougal Maclaurin, George Necula, Adam Paszke, Jake VanderPlas, Skye Wanderman-Milne, and Qiao Zhang. 2018. JAX: composable transformations of Python+NumPy programs. http://github.com/google/jax

2. Optimal μ-Distributions for the Hypervolume Indicator for Problems with Linear Bi-objective Fronts: Exact and Exhaustive Results

3. On using the hypervolume indicator to compare Pareto fronts: Applications to multi-criteria optimal experimental design

4. Konstantinos Chatzilygeroudis , Antoine Cully , Vassilis Vassiliades , and Jean-Baptiste Mouret . 2021. Quality-Diversity Optimization: a novel branch of stochastic optimization . In Black Box Optimization, Machine Learning, and No-Free Lunch Theorems . Springer , 109--135. Konstantinos Chatzilygeroudis, Antoine Cully, Vassilis Vassiliades, and Jean-Baptiste Mouret. 2021. Quality-Diversity Optimization: a novel branch of stochastic optimization. In Black Box Optimization, Machine Learning, and No-Free Lunch Theorems. Springer, 109--135.

5. MOPSO: a proposal for multiple objective particle swarm optimization

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