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Analyzing Resilience to Computational Glitches in Island-Based Evolutionary Algorithms

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Book cover Parallel Problem Solving from Nature – PPSN XV (PPSN 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11101))

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Abstract

We consider the deployment of island-based evolutionary algorithms (EAs) on irregular computational environments plagued with different kind of glitches. In particular we consider the effect that factors such as network latency and transient process suspensions have on the performance of the algorithm. To this end, we have conducted an extensive experimental study on a simulated environment in which the performance of the island-based EA can be analyzed and studied under controlled conditions for a wide range of scenarios in terms of both the intensity of glitches and the topology of the island-based model (scale-free networks and von Neumann grids are considered). It is shown that the EA is resilient enough to withstand moderately high latency rates and is not significantly affected by temporary island deactivations unless a fixed time-frame is considered. Combining both kind of glitches has a higher toll on performance, but the EA still shows resilience over a broad range of scenarios.

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Acknowledgements

This work is supported by the Spanish Ministerio de Economía and European FEDER under Projects EphemeCH (TIN2014-56494-C4-1-P) and DeepBIO (TIN2017-85727-C4-1-P) and by Universidad de Málaga, Campus de Excelencia Internacional Andalucía Tech.

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Authors and Affiliations

  1. Dept. Lenguajes y Ciencias de la Computación, Universidad de Málaga, ETSI Informática, Campus de Teatinos, 29071, Málaga, Spain

    Rafael Nogueras & Carlos Cotta

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  1. Rafael Nogueras
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  2. Carlos Cotta
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Correspondence to Carlos Cotta .

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Editors and Affiliations

  1. Inria Saclay, Palaiseau, France

    Anne Auger

  2. University of Coimbra, Coimbra, Portugal

    Carlos M. Fonseca

  3. University of Coimbra, Coimbra, Portugal

    Nuno Lourenço

  4. University of Coimbra, Coimbra, Portugal

    Penousal Machado

  5. University of Coimbra, Coimbra, Portugal

    Luís Paquete

  6. Colorado State University, Fort Collins, Colorado, USA

    Darrell Whitley

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Nogueras, R., Cotta, C. (2018). Analyzing Resilience to Computational Glitches in Island-Based Evolutionary Algorithms. In: Auger, A., Fonseca, C., Lourenço, N., Machado, P., Paquete, L., Whitley, D. (eds) Parallel Problem Solving from Nature – PPSN XV. PPSN 2018. Lecture Notes in Computer Science(), vol 11101. Springer, Cham. https://doi.org/10.1007/978-3-319-99253-2_33

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  • DOI: https://doi.org/10.1007/978-3-319-99253-2_33

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  • Online ISBN: 978-3-319-99253-2

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