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arXiv · 2511.06454

Feature weighting for data analysis via evolutionary simulation

Aris Daniilidis·Alberto Domínguez Corella·Philipp Wissgott
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Abstract

We analyze an algorithm for assigning weights prior to scalarization in discrete multi-objective problems arising from data analysis. The algorithm evolves weights (interpreted as the relevance of features) by a replicator-type dynamic on the standard simplex, with update indices computed from a normalized data matrix. We prove that the resulting sequence converges globally to a unique interior equilibrium, yielding non-degenerate limiting weights.

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Aris Daniilidis, Alberto Domínguez Corella, Philipp Wissgott. 2025-11-09. Feature weighting for data analysis via evolutionary simulation. https://arxiv.org/abs/2511.06454

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