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FR metrics can also be subclassified according to the computational complexity required to attain the metric: simple or complex objective metrics.
An iterative reweighted algorithm is used to solve the complex objective function.
Using a more complex objective function, however, may not result in all parameters becoming sensitive.
In most cases, the former type ends up designing a complex objective function to be minimized over the solution space.
San and Raman [10] define a complex objective function to minimize the total cost of MR deployment.
In this respect analytical (classical) methods, although well-matched for small systems, perform adversely for large and complex objective functions.
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You had more complex objectives on Spectrum games but, as we keep arguing, good gameplay is all you need.
On the government side, this is negotiating with a political gun at the head, conducted by inexperienced civil servants told to secure complex objectives, unable to walk away from already announced sell-offs.
"In general, oblique approaches recognise that complex objectives tend to be imprecisely defined and contain many elements that are not necessarily or obviously compatible with one another, and that we learn about the nature of the objectives and the means of achieving them during a process of experiment and discovery.
This approach allows the simultaneous solution of a system of complex objectives (Belmokaddem et al. 2009).
Multi-objective functions with several criteria in bi-level, multi-level, bi-stage and multi-stage, with more complex objectives, can conduct us to a more real condition.
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