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Descripción
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| The different viable architectures that implement P-systems (membrane systems) over distributed clusters of processors have a major drawback: the distribution of these architectures in a balanced tree of processors can minimize external communications and maximize the parallelism grade. For a given P-system and K processors, there exists a great number of possible distributions of membranes. In a recent article, the feasibility of using self-organizing neural networks (SONN) with a growing capacity to help in the selection process of a distribution for a given P-system has been demonstrated, although the nature of the twodimensional patterns used in the study limited the possibility of defi ning more fl exible degrees of communication, making it more diffi cult to locate the best distribution. In this article, the capacity of a growing cell structure (GCS) model for projecting high-dimensional spaces in bi-dimensional graphs is explored | |
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Internacional
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Si |
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Nombre congreso
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International Symposium on Artificial Life and Robotics |
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Tipo de participación
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960 |
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Lugar del congreso
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Beppu, Oita (Japan) |
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Revisores
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Si |
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ISBN o ISSN
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1433-5298 |
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DOI
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10.1007/s10015-010-0771-1 |
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Fecha inicio congreso
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04/02/2010 |
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Fecha fin congreso
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06/02/2010 |
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Desde la página
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77 |
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Hasta la página
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82 |
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Título de las actas
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Artificial Life and Robotics |