Neural Comput - Simple neural-like p systems for maximal independent set selection.

Tópicos

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{ detect(2391) sensit(1101) algorithm(908) }

Resumo

Membrane systems (P systems) are distributed computing models inspired by living cells where a collection of processors jointly achieves a computing task. The problem of maximal independent set (MIS) selection in a graph is to choose a set of nonadjacent nodes to which no further nodes can be added. In this letter, we design a class of simple neural-like P systems to solve the MIS selection problem efficiently in a distributed way. This new class of systems possesses two features that are attractive for both distributed computing and membrane computing: first, the individual processors do not need any information about the overall size of the graph; second, they communicate using only one-bit messages.

Resumo Limpo

membran system p system distribut comput model inspir live cell collect processor joint achiev comput task problem maxim independ set mis select graph choos set nonadjac node node can ad letter design class simpl neurallik p system solv mis select problem effici distribut way new class system possess two featur attract distribut comput membran comput first individu processor need inform overal size graph second communic use onebit messag

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