Simple Neural-Like P Systems for Maximal Independent Set Selection
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....
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| Veröffentlicht in: | Neural computation 2013-06, Vol.25 (6), p.1642-1659 |
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| container_title | Neural computation |
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| creator | Xu, Lei Jeavons, Peter |
| description | 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. |
| doi_str_mv | 10.1162/NECO_a_00443 |
| format | Article |
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| ispartof | Neural computation, 2013-06, Vol.25 (6), p.1642-1659 |
| issn | 0899-7667 1530-888X |
| language | eng |
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| source | MEDLINE; MIT Press Journals |
| subjects | Brain - cytology Cells Computation Computer Simulation Graphs Humans Letters Membranes Models, Neurological Neural Networks (Computer) Neurons - physiology Probability Set (Psychology) |
| title | Simple Neural-Like P Systems for Maximal Independent Set Selection |
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