Building Blocks Propagation in Quantum-Inspired Genetic Algorithm
Neural and Evolutionary Computing
2010-10-05 v2
Abstract
This paper presents an analysis of building blocks propagation in Quantum-Inspired Genetic Algorithm, which belongs to a new class of metaheuristics drawing their inspiration from both biological evolution and unitary evolution of quantum systems. The expected number of quantum chromosomes matching a schema has been analyzed and a random variable corresponding to this issue has been introduced. The results have been compared with Simple Genetic Algorithm. Also, it has been presented how selected binary quantum chromosomes cover a domain of one-dimensional fitness function.
Keywords
Cite
@article{arxiv.1007.4221,
title = {Building Blocks Propagation in Quantum-Inspired Genetic Algorithm},
author = {Robert Nowotniak and Jacek Kucharski},
journal= {arXiv preprint arXiv:1007.4221},
year = {2010}
}
Comments
16 pages, 7 figures