Evolutionary Data Theory applies evolutionary game theory to data by mapping records and features to evolutionary entities and proves convergence to a unique rest point where all features persist.
Feature weighting for data analysis via evolutionary simulation
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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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cs.NE 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
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Evolutionary Data Theory: On the Similarities between Data Problems and Evolutionary Games
Evolutionary Data Theory applies evolutionary game theory to data by mapping records and features to evolutionary entities and proves convergence to a unique rest point where all features persist.