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arXiv · 1707.00451

A Distance Between Populations for n-Points Crossover in Genetic Algorithms

Mauro Castelli·Gianpiero Cattaneo·Luca Manzoni·Leonardo Vanneschi
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Abstract

Genetic algorithms (GAs) are an optimization technique that has been successfully used on many real-world problems. There exist different approaches to their theoretical study. In this paper we complete a recently presented approach to model one-point crossover using pretopologies (or Cech topologies) in two ways. First, we extend it to the case of n-points crossover. Then, we experimentally study how the distance distribution changes when the number of crossover points increases.

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Mauro Castelli, Gianpiero Cattaneo, Luca Manzoni, Leonardo Vanneschi. 2017-07-03. A Distance Between Populations for n-Points Crossover in Genetic Algorithms. https://arxiv.org/abs/1707.00451

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