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Potentials of Hyper Populated Ant Colonies

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Book cover Intelligent Information and Database Systems (ACIIDS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9011))

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Abstract

The paper discusses the potentials of Hyper Populated Ant Colonies (HPAC) using the well-known Travelling Salesman Problem (TSP) as the study area. The paper starts with an examination of the simple static version of the TSP. The obtained results are later applied to its dynamic version. The carried out experiments strongly suggest that the TSP performance improves significantly with the increase of the Ant Colony size. The phenomena is especially noticeable for dynamic environments. Moreover the processing time does not necessary grow longer. The increasing size of ant colony could be compensated by the decreasing number of iterations. Both the theoretical analysis and initial experiments show that the processing time could be further reduced by the introducing parallelism. The programming technique used is the RMI - Remote Method Invocation.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Management, Technical University of Wrocław, Wrocław, Poland

    Andrzej Siemiński

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  1. Andrzej Siemiński
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Correspondence to Andrzej Siemiński .

Editor information

Editors and Affiliations

  1. Ton Duc Thang University, Ho Chi Minh city, Vietnam

    Ngoc Thanh Nguyen

  2. Wroclaw University of Technology, Wroclaw, Poland

    Bogdan Trawiński

  3. Bina Nusantara University, Jakarta, Indonesia

    Raymond Kosala

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Siemiński, A. (2015). Potentials of Hyper Populated Ant Colonies. In: Nguyen, N., Trawiński, B., Kosala, R. (eds) Intelligent Information and Database Systems. ACIIDS 2015. Lecture Notes in Computer Science(), vol 9011. Springer, Cham. https://doi.org/10.1007/978-3-319-15702-3_40

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  • DOI: https://doi.org/10.1007/978-3-319-15702-3_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15701-6

  • Online ISBN: 978-3-319-15702-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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