Constructing Attractors via the Improved Eugenics Genetic Algorithm

Li Ming Du; Feng Ying Wang; Zi Yang Han

doi:10.4028/www.scientific.net/AMR.989-994.1786

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994Constructing Attractors via the Improved Eugenics...

Constructing Attractors via the Improved Eugenics Genetic Algorithm

Abstract:

The paper introduces Monte Carlo method and Eugenics genetic algorithm, which be used to generate a great diversity of chaotic attractors firstly. By an analysis of their algorithms, a improved eugenics genetic algorithm is presented to avoid the "genetic drift" phenomenon in attractor graphics. A parameter vector distance limit is adopted to solve the problem and lots of experiments applying equivalent mappings of frieze group are finished to validate effectiveness for algorithm.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

1786-1789

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.1786

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Online since:

July 2014

Authors:

Li Ming Du*, Feng Ying Wang, Zi Yang Han

Keywords:

Attractor, Frieze Group, Genetic Algorithm (GA)

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