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In the context of stochastic networks, we study the problem of finding a path P that combines in a reasonable way the mean m(P) and variance v(P) of its length. Specifically we study a separable objective function that combines these two path measures: namely, z(P)=f(m(P))+g(v(P)), where f is an increasing convex function and g is an increasing concave function. A new type of dominance (e-dominance),...
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