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ITHEA Classification Structure > F. Theory of Computation  > F.1 COMPUTATION BY ABSTRACT DEVICES  > F.1.2 Modes of Computation 
EXTENDED NETWORKS OF EVOLUTIONARY PROCESSORS
By: Mingo et al. (3803 reads)
Rating: (1.00/10)

Abstract: This paper presents an extended behavior of networks of evolutionary processors. Usually, such nets are able to solve NP-complete problems working with symbolic information. Information can evolve applying rules and can be communicated though the net provided some constraints are verified. These nets are based on biological behavior of membrane systems, but transformed into a suitable computational model. Only symbolic information is communicated. This paper proposes to communicate evolution rules as well as symbolic information. This idea arises from the DNA structure in living cells, such DNA codes information and operations and it can be sent to other cells. Extended nets could be considered as a superset of networks of evolutionary processors since permitting and forbidden constraints can be written in order to deny rules communication.

Keywords: Networks of Evolutionary Processors, Membrane Systems, and Natural Computation.

ACM Classification Keywords: F.1.2 Modes of Computation, I.6.1 Simulation Theory, H.1.1 Systems and Information Theory

Link:

EXTENDED NETWORKS OF EVOLUTIONARY PROCESSORS

Luis Fernando de Mingo, Nuria Gómez Blas, Francisco Gisbert, Miguel A. Peña

http://foibg.com/ijita/vol16/IJITA16-3-p03.pdf

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F.1.2 Modes of Computation
article: Building Peculiarities of the Modern Wireless Corporate Network · NUMERICAL INTEGRATION BY GENETIC ALGORITHMS · MEMBRANES DISTRIBUTION USING GENETIC ALGORITHMS · COMMUNICATION LATENESS IN SOFTWARE MEMBRANES · EXTENDED NETWORKS OF EVOLUTIONARY PROCESSORS · EXTENDED NETWORKS OF EVOLUTIONARY PROCESSORS · WEBCOMPUTING SERVICE FRAMEWORK · NETWORKS OF EVOLUTIONARY PROCESSORS: JAVA IMPLEMENTATION ... · NETWORKS OF EVOLUTIONARY PROCESSORS (NEP) AS DECISION SUPPORT SYSTEMS1 ·
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