Towards Exploratory Quality Diversity Landscape Analysis

2024/05/22 by Kyriacos Mosphilis, Mosphilis, Kyriacos, Vassilis Vassiliades +1
Agricultural and Biological Sciences · Business, Management and Accounting · #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #Sensory Analysis and Statistical Methods #Wine Industry and Tourism

paper · pdf · doi:10.48550/arxiv.2405.13433

openalex publication_date 2024/05/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

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.

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