Aging Evolution

2000년 도입 · 논문 3편에서 사용

Aging Evolution, or Regularized Evolution, is an evolutionary algorithm for neural architecture search. Whereas in tournament selection, the best architectures are kept, in aging evolution we associate each genotype with an age, and bias the tournament selection to choose the younger genotypes. In the context of architecture search, aging evolution allows us to explore the search space more, instead of zooming in on good models too early, as non-aging evolution would.

출처: Regularized Evolution for Image Classifier Architecture Search

소개 논문: Regularized Evolution for Image Classifier Architecture Search