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In this paper, we propose a multi-objective optimization framework for the
networking computers problem. Our framework is characterized by several
unique features. First, it takes into account several factors such as access latency,
storage costs and availability. Second, these factors are regarded as objectives for
optimization rather than constraints. This provides us with the advantage that
we can search for solutions that yield close to optimal values for these parameters
instead of just attempting to keep them within certain bounds. Third, our
framework is inspired by evolutionary computing paradigm, and each solution
is represented as a chromosome.
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