7 research outputs found
Accepting Hybrid Networks of Evolutionary Processors with Special Topologies and Small Communication
Starting from the fact that complete Accepting Hybrid Networks of
Evolutionary Processors allow much communication between the nodes and are far
from network structures used in practice, we propose in this paper three
network topologies that restrict the communication: star networks, ring
networks, and grid networks. We show that ring-AHNEPs can simulate 2-tag
systems, thus we deduce the existence of a universal ring-AHNEP. For star
networks or grid networks, we show a more general result; that is, each
recursively enumerable language can be accepted efficiently by a star- or
grid-AHNEP. We also present bounds for the size of these star and grid
networks. As a consequence we get that each recursively enumerable can be
accepted by networks with at most 13 communication channels and by networks
where each node communicates with at most three other nodes.Comment: In Proceedings DCFS 2010, arXiv:1008.127
A New Characterization of NP, P, and PSPACE with Accepting Hybrid Networks of Evolutionary Processors
We consider three complexity classes defined on Accepting Hybrid Networks
of Evolutionary Processors (AHNEP) and compare them with the classical
complexity classes defined on the standard computing model of Turing machine. By
definition, AHNEPs are deterministic. We prove that the classical complexity class
NP equals the family of languages decided by AHNEPs in polynomial time. A language
is in P if and only if it is decided by an AHNEP in polynomial time and space.
We also show that PSPACE equals the family of languages decided by AHNEPs in
polynomial length
Implementation of a NEP in Java
TheNetworks of Evolutionary Processors (NEPs) are computing mechanisms directly inspired from the behavior of cell populations more specifically the point mutations in DNA strands.These mechanisms are been used for solving NP-complete problems by means of a parallel computation postulation.This paper describes an implementation of the basic model of NEP and includes the possibility of designing some of the most common variants of it by means of a graphic user interface which eases the configuration of a given problem. It is a system designed to be used in a multicore processor in order to benefit from the multi thread use
A Web Implementation of A Generalized NEP
The Networks of Evolutionary Processors (NEPs) are computing mechanisms directly inspired from the behavior of cell populations more specifically the point mutations in DNA strands. These mechanisms are been used for solving NP-complete problems by means of a parallel computation postulation. This paper describes an implementation of the basic model of NEP using Web technologies and includes the possibility of designing some of the most common variants of it by means the use of the web page design which eases the configuration of a given problem. It is a system intended to be used in a multicore processor in order to benefit from the multi thread use
Efficient local search for Pseudo Boolean Optimization
Algorithms and the Foundations of Software technolog
Real life applications of bio-inspired computing models: EAP and NEPs
Tesis doctoral inédita leída en la Universidad Autónoma de Madrid, Escuela Politécnica Superior, Departamento de Ingeniería Informática. Fecha de lectura: 04-07-201