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International Conference on Adaptive and Intelligent Systems

ICAIS 2011: Adaptive and Intelligent Systems pp 356–367Cite as

Golden Ratio (Sectiona Aurea) in Markovian Ants AI Hybrid

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6943))

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.

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Author information

Authors and Affiliations

  1. Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovića 6, 21000, Novi Sad, Serbia

    Ilija Tanackov, Gordan Stojić, Jovan Tepić & Siniša Sremac

  2. Faculty of Mechanical Engineering and Naval Architecture, University of of Zagreb, Ivana Lučića 5, 10000, Zagreb, Croatia

    Milan Kostelac

  3. Ministry of Transport and Communications, St. Crvena Skopska Opstina 4, 1000, Skopje, Republic of Macedonia

    Feta Sinani

Authors
  1. Ilija Tanackov
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  2. Gordan Stojić
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  3. Jovan Tepić
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  4. Milan Kostelac
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  5. Feta Sinani
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  6. Siniša Sremac
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Editor information

Editors and Affiliations

  1. Department of Informatics-Systems, University of Klagenfurt, Universitätsstr. 65-67, 9020, Klagenfurt, Austria

    Abdelhamid Bouchachia

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© 2011 Springer-Verlag Berlin Heidelberg

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Tanackov, I., Stojić, G., Tepić, J., Kostelac, M., Sinani, F., Sremac, S. (2011). Golden Ratio (Sectiona Aurea) in Markovian Ants AI Hybrid. In: Bouchachia, A. (eds) Adaptive and Intelligent Systems. ICAIS 2011. Lecture Notes in Computer Science(), vol 6943. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23857-4_35

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  • DOI: https://doi.org/10.1007/978-3-642-23857-4_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23856-7

  • Online ISBN: 978-3-642-23857-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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