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Asynchronous and implicitly parallel evolutionary computation models

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Abstract

This paper presents the design and the application of asynchronous models of parallel evolutionary algorithms. An overview of the existing parallel evolutionary algorithm (PEA) models and available implementations is given. We present new PEA models in the form of asynchronous algorithms and implicit parallelization, as well as experimental data on their efficiency. The paper also discusses the definition of speedup in PEAs and proposes an appropriate speedup measurement procedure. The described parallel EA algorithms are tested on problems with varying degrees of computational complexity. The results show good efficiency of asynchronous and implicit models compared to existing parallel algorithms.

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Authors and Affiliations

  1. Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia

    Domagoj Jakobović, Marin Golub & Marko Čupić

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  1. Domagoj Jakobović
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  2. Marin Golub
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  3. Marko Čupić
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Corresponding author

Correspondence to Domagoj Jakobović.

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Communicated by G. Acampora.

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Jakobović, D., Golub, M. & Čupić, M. Asynchronous and implicitly parallel evolutionary computation models. Soft Comput 18, 1225–1236 (2014). https://doi.org/10.1007/s00500-013-1140-5

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