Towards Fault-Tolerant Systems based on Adaptive Cellular Genetic Algorithms

Authors:
Alicia Morales-Reyes;Evangelos F. Stefatos;Ahmet T. Erdogan;Tughrul Arslan
Affiliations:
-;-;-;-
Venue:
AHS '08 Proceedings of the 2008 NASA/ESA Conference on Adaptive Hardware and Systems
Year:
2008

Citing 0
Cited 3

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Dynamic Fault-Tolerant three-dimensional cellular genetic algorithms

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Abstract

This paper presents an adaptive cellular Genetic Algorithm (cGA) which aims at realizing a fault tolerant platform that determines the attitude parameters of a vehicle, based on Global Positioning System (GPS) technology. This research work investigates the inherent ability of cGAs to deal with Single Hardware Errors (SHEs) that could permanently affect the operation of a system. The proposed approach is based on measuring the genetic diversity behaviour during the evolutionary process and thus to control the exploitation/exploration tradeoff via the grid to neighbourhood ratio, a parameter specific to cGAs topologies. By appropriately controlling this parameter, the complex search space (presenting multi-peak fitness-function) associated with attitude determination, is conveniently explored in terms of efficiency and efficacy.