2010/07/23 by Nowotniak, Robert, Kucharski, Jacek
#FOS: Computer and information sciences #I.2.8 #Neural and Evolutionary Computing (cs.NE)
paper · doi:10.48550/arxiv.1007.4221
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.