Towards Exploratory Quality Diversity Landscape Analysis
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866916257215807488 |
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| author | Mosphilis, Kyriacos Vassiliades, Vassilis |
| author_facet | Mosphilis, Kyriacos Vassiliades, Vassilis |
| contents | This work is a preliminary study on using Exploratory Landscape Analysis (ELA) for Quality Diversity (QD) problems. We seek to understand whether ELA features can potentially be used to characterise QD problems paving the way for automating QD algorithm selection. Our results demonstrate that ELA features are affected by QD optimisation differently than random sampling, and more specifically, by the choice of variation operator, behaviour function, archive size and problem dimensionality. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_13433 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Towards Exploratory Quality Diversity Landscape Analysis Mosphilis, Kyriacos Vassiliades, Vassilis Neural and Evolutionary Computing This work is a preliminary study on using Exploratory Landscape Analysis (ELA) for Quality Diversity (QD) problems. We seek to understand whether ELA features can potentially be used to characterise QD problems paving the way for automating QD algorithm selection. Our results demonstrate that ELA features are affected by QD optimisation differently than random sampling, and more specifically, by the choice of variation operator, behaviour function, archive size and problem dimensionality. |
| title | Towards Exploratory Quality Diversity Landscape Analysis |
| topic | Neural and Evolutionary Computing |
| url | https://arxiv.org/abs/2405.13433 |