other · Figshare · 2016

HYBRID GENETIC ALGORITHM (HGA)

Lahoz-Beltra, Rafael

Cited by 1Open access

Abstract

Hybrid Genetic Algorithm (HGA) is a GA that combines quantum operators (rotation, measure, quantum chromosomes, etc.) with classical genetic operators (crossover and mutation).It can be used for the purposes of education and research. HGA is applied in a simple optimization problem:<br><br>Let f(x)=abs(x-5/2+sin(x)) be a function that takes values in the range 0<=x<=15. Within this range f(x) has a maximum value at x=11 (binary value is equal to 1011).

Cite this paper

APA 7

Lahoz-Beltra, R. (2016). HYBRID GENETIC ALGORITHM (HGA). Figshare. https://doi.org/10.6084/m9.figshare.3398074.v1

MLA 9

Lahoz-Beltra, Rafael. “HYBRID GENETIC ALGORITHM (HGA).” Figshare, 2016, https://doi.org/10.6084/m9.figshare.3398074.v1.

Chicago

Lahoz-Beltra, Rafael. 2016. “HYBRID GENETIC ALGORITHM (HGA).” Figshare. https://doi.org/10.6084/m9.figshare.3398074.v1.

Harvard

Lahoz-Beltra, R. (2016) ‘HYBRID GENETIC ALGORITHM (HGA)’, Figshare. Available at: https://doi.org/10.6084/m9.figshare.3398074.v1.

BibTeX

@misc{lahozbeltra2016hybrid,
  title = {{HYBRID GENETIC ALGORITHM (HGA)}},
  author = {Lahoz-Beltra, Rafael},
  journal = {Figshare},
  year = {2016},
  doi = {10.6084/m9.figshare.3398074.v1}
}

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