cs.NE · 2026-07-01 · No. 40

Neural and Evolutionary Computing, 2026-07-01.

1 new papers in cs.NE. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    Evaluation of Population Initialization Methods for Genetic Programming-based Symbolic Regression

    Lukas Kammerer, Gabriel Kronberger, Deaglan J. Bartlett, Harry Desmond, Pedro G. Ferreira, Stephan Winkler

    cs.NE · cs.LG

    We analyze the effect of optimizing the initial population of genetic programming (GP) for symbolic regression (SR) on the accuracy and complexity of solutions. We compare three well-established random initialization methods as well as initialization with small optimized solutions from exhaustive symbolic regression (ESR) using a GP/SR implementation which is based on the multi-objective evolutionary algorithm NSGA-II. We compare the final...

    arxiv.org/abs/2606.31990 · PDF

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