Golden ratio (sectiona aurea) in Markovian ants AI hybrid

Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/10027

Title:	Golden ratio (sectiona aurea) in Markovian ants AI hybrid
Authors:	Tanackov, Ilija Stojić, Gordan Tepić J. Kostelac M. Sinani F. Sremac, Siniša
Issue Date:	4-Oct-2011
Journal:	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Abstract:	The exponential pheromone signal of the AI hybrid of Markovian Ant Queuing System - MAQS, is divided into the spatial and deposit pheromone fractions which have the identical values. A new hybrid is formed. The convolution of two new exponential signals has the Erlang distribution. Introducing the inter-state in the process of markovization the Erlang Queuing Ant System - EQAS, is solved. Comparison of the average distance between artificial ants in MAQS and EAQS gave particular numerical specificity. The average distances are in ( equilibrium. Constant ( is a famous constant of the Golden ratio. © 2011 Springer-Verlag.
URI:	https://open.uns.ac.rs/handle/123456789/10027
ISBN:	9783642238567
ISSN:	3029743
DOI:	10.1007/978-3-642-23857-4_35
Appears in Collections:	FTN Publikacije/Publications

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