A review of adaptive population sizing schemes in genetic algorithms

Authors:
Fernando G. Lobo;Cláudio F. Lima
Affiliations:
University of Algarve, Campus de Gambelas, Faro, Portugal;University of Algarve, Campus de Gambelas, Faro, Portugal
Venue:
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
Year:
2005

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Abstract

This paper reviews the topic of population sizing in genetic algorithms. It starts by revisiting theoretical models which rely on a facetwise decomposition of genetic algorithms, and then moves on to various self-adjusting population sizing schemes that have been proposed in the literature. The paper ends with recommendations for those who design and compare adaptive population sizing schemes for genetic algorithms.