All NP-problems can be solved in polynomial time by accepting hybrid networks of evolutionary processors of constant size-Reference-Cited by-同舟云学术

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All NP-problems can be solved in polynomial time by accepting hybrid networks of evolutionary processors of constant size

Published:2007-07 Issue:3 Volume:103 Page:112-118
ISSN:0020-0190
Container-title:Information Processing Letters
language:en
Short-container-title:Information Processing Letters

Author:

Manea Florin,Mitrana Victor

Publisher

Elsevier BV

Subject

Computer Science Applications,Information Systems,Signal Processing,Theoretical Computer Science

Reference14 articles.

1. Networks of Parallel Language Processors;Csuhaj-Varjú,1997

2. Networks of Watson–Crick D0L systems;Csuhaj-Varjú,2003

3. Hybrid NEPs are computationally complete;Csuhaj-Varjú;Acta Informatica,2005

4. Introduction to Evolutionary Computing;Eiben,2003

5. Towards a new architecture for symbolic processing;Errico,1994

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1. Generating networks of genetic processors;Genetic Programming and Evolvable Machines;2021-10-21

2. Simulations between Network Topologies in Networks of Evolutionary Processors;Axioms;2021-08-11

3. Simulating polarization by random context filters in networks of evolutionary processors;Journal of Applied Mathematics and Computing;2021-04-01

4. Universality of SNQ P Systems Using One Type of Spikes and Restrictive Rule Application;International Journal of Foundations of Computer Science;2020-01

5. Quantum information processing with superconducting circuits: a review;Reports on Progress in Physics;2017-09-01

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