Fractional Dynamics of Genetic Algorithms Using Hexagonal Space Tessellation
Author
Tenreiro Machado, José António
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-19
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
The paper formulates a genetic algorithm that evolves two types of objects in a plane.
The fitness function promotes a relationship between the objects that is optimal when some kind of interface between them occurs.
Furthermore, the algorithm adopts an hexagonal tessellation of the two-dimensional space for promoting an efficient method of the neighbour modelling.
The genetic algorithm produces special patterns with resemblances to those revealed in percolation phenomena or in the symbiosis found in lichens.
Besides the analysis of the spacial layout, a modelling of the time evolution is performed by adopting a distance measure and the modelling in the Fourier domain in the perspective of fractional calculus.
The results reveal a consistent, and easy to interpret, set of model parameters for distinct operating conditions.
American Psychological Association (APA)
Tenreiro Machado, José António. 2013. Fractional Dynamics of Genetic Algorithms Using Hexagonal Space Tessellation. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-494858
Modern Language Association (MLA)
Tenreiro Machado, José António. Fractional Dynamics of Genetic Algorithms Using Hexagonal Space Tessellation. Abstract and Applied Analysis No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-494858
American Medical Association (AMA)
Tenreiro Machado, José António. Fractional Dynamics of Genetic Algorithms Using Hexagonal Space Tessellation. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-494858
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-494858