Fault Tolerance through Automatic Cell Isolation Using Three-Dimensional Cellular Genetic Algorithms

Asmaa Al-Naqi; Ahmet T. Erdogan; Tughrul Arslan

Fault Tolerance through Automatic Cell Isolation Using Three-Dimensional Cellular Genetic Algorithms

Asmaa Al-Naqi, Ahmet T. Erdogan, Tughrul Arslan

School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper we propose a new algorithmic approach to achieve fault tolerance based on three dimensional cellular genetic algorithms (3D-cGAs). Herein, 3D architecture is targeted due to its amenability to implementation with current advanced custom silicon chip technology. The proposed approach is designed to exploit the inherent features of a cGA in which the genetic diversity is used as the key factor in identifying and isolating faulty individuals. A new migration schema is proposed as a mitigation technique. Several configurations concerning migration and selection intensity are considered. The approach is tested using four benchmark test functions and two real world problems which present different levels of difficulty. The overall results show that the proposed approach is able to cope with up to 40% soft errors (SEUs).

Original language	English
Title of host publication	2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)
Place of Publication	NEW YORK
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	-
Number of pages	8
ISBN (Print)	978-1-4244-8126-2
Publication status	Published - 2010
Event	2010 IEEE World Congress on Computational Intelligence - Barcelona, Barcelona, Spain Duration: 18 Jul 2010 → 23 Jul 2010

Conference

Conference	2010 IEEE World Congress on Computational Intelligence
Country/Territory	Spain
City	Barcelona
Period	18/07/10 → 23/07/10

Cite this

@inproceedings{ad4b8cd9cd424d9b8f6ad4af9c15600e,

title = "Fault Tolerance through Automatic Cell Isolation Using Three-Dimensional Cellular Genetic Algorithms",

abstract = "In this paper we propose a new algorithmic approach to achieve fault tolerance based on three dimensional cellular genetic algorithms (3D-cGAs). Herein, 3D architecture is targeted due to its amenability to implementation with current advanced custom silicon chip technology. The proposed approach is designed to exploit the inherent features of a cGA in which the genetic diversity is used as the key factor in identifying and isolating faulty individuals. A new migration schema is proposed as a mitigation technique. Several configurations concerning migration and selection intensity are considered. The approach is tested using four benchmark test functions and two real world problems which present different levels of difficulty. The overall results show that the proposed approach is able to cope with up to 40% soft errors (SEUs).",

author = "Asmaa Al-Naqi and Erdogan, {Ahmet T.} and Tughrul Arslan",

year = "2010",

language = "English",

isbn = "978-1-4244-8126-2",

pages = "--",

booktitle = "2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "2010 IEEE World Congress on Computational Intelligence ; Conference date: 18-07-2010 Through 23-07-2010",

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Fault Tolerance through Automatic Cell Isolation Using Three-Dimensional Cellular Genetic Algorithms. / Al-Naqi, Asmaa; Erdogan, Ahmet T.; Arslan, Tughrul.

2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC). NEW YORK : Institute of Electrical and Electronics Engineers (IEEE), 2010. p. -.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Fault Tolerance through Automatic Cell Isolation Using Three-Dimensional Cellular Genetic Algorithms

AU - Al-Naqi, Asmaa

AU - Erdogan, Ahmet T.

AU - Arslan, Tughrul

PY - 2010

Y1 - 2010

N2 - In this paper we propose a new algorithmic approach to achieve fault tolerance based on three dimensional cellular genetic algorithms (3D-cGAs). Herein, 3D architecture is targeted due to its amenability to implementation with current advanced custom silicon chip technology. The proposed approach is designed to exploit the inherent features of a cGA in which the genetic diversity is used as the key factor in identifying and isolating faulty individuals. A new migration schema is proposed as a mitigation technique. Several configurations concerning migration and selection intensity are considered. The approach is tested using four benchmark test functions and two real world problems which present different levels of difficulty. The overall results show that the proposed approach is able to cope with up to 40% soft errors (SEUs).

AB - In this paper we propose a new algorithmic approach to achieve fault tolerance based on three dimensional cellular genetic algorithms (3D-cGAs). Herein, 3D architecture is targeted due to its amenability to implementation with current advanced custom silicon chip technology. The proposed approach is designed to exploit the inherent features of a cGA in which the genetic diversity is used as the key factor in identifying and isolating faulty individuals. A new migration schema is proposed as a mitigation technique. Several configurations concerning migration and selection intensity are considered. The approach is tested using four benchmark test functions and two real world problems which present different levels of difficulty. The overall results show that the proposed approach is able to cope with up to 40% soft errors (SEUs).

M3 - Conference contribution

SN - 978-1-4244-8126-2

SP - -

BT - 2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - NEW YORK

T2 - 2010 IEEE World Congress on Computational Intelligence

Y2 - 18 July 2010 through 23 July 2010

ER -

Fault Tolerance through Automatic Cell Isolation Using Three-Dimensional Cellular Genetic Algorithms

Abstract

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