3 papers
math.OC2026
Feature weighting for data analysis via evolutionary simulation
Aris Daniilidis, Alberto DomÃnguez Corella, Philipp Wissgott
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…
cs.NE2026
Evolutionary Data Theory: On the Similarities between Data Problems and Evolutionary Games
Philipp Wissgott
Applying the concepts and formalism from Evolutionary Game Theory to the data regime, the fundamental paradigms of Evolutionary Data Theory are introduced. It is shown that essenti…
cs.NE2025
Genetic AI: Evolutionary Games for ab initio dynamic Multi-Objective Optimization
Philipp Wissgott
We introduce Genetic AI, a novel method for multi-objective optimization without external parameters or predefined weights. The method can be applied to all problems that can be fo…