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A distributed cellular GA based architecture for real time GPS attitude determination
<span title="">2009</span>
<i title="IEEE">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2dmkezwdzrcofn7zdzzte2h75i" style="color: black;">2009 IEEE Congress on Evolutionary Computation</a>
</i>
This paper investigates a distributed cellular Genetic Algorithm (dcGA) for the implementation of a GPS attitude determination system. Previously, a cellular GA architecture has been proposed considering several implementations; however, comparison among these reveals that accuracy is compromised when the population size is increased. In this paper, a distributed configuration approach is proposed and compared with previous implementations in the literature; a significant improvement in terms
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... accuracy is reported without increasing computational cost.
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