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For example, the expected value (EV) method [9 11] and the expected residual minimization (ERM) method [12 14] focused on minimizing the average or the average of expected residual.
This is achieved by minimizing the average cost function of the local minimizers subjected to pairwise synchronization constraints.
Obviously, minimizing the average distance error would not necessarily lead to minimization of the localization error.
Specifically, we consider minimizing the average flow completion time.
We next turn our attention to minimizing the average delay.
This eventually translates to minimizing the average inter-node hop distance within the ISS.
Recently, Seol and Cheun [4] proposed an approximation based on minimizing the average error.
The optimal projection matrix is obtained by mainly minimizing the average coherence of the equivalent dictionary.
Obviously, minimizing the total energy consumption may be achieved through minimizing the average energy consumption.
The multi-objectives of the model are minimizing the average distribution time and the distribution time of the slowest channel.
The two objectives are minimizing the total SC costs as well as minimizing the average tardiness of product to DCs.
More suggestions(15)
minimise the average
limit the average
reduce the average
minimizing the generalized
minimizing the environmental
minimizing the mechanical
minimizing the structural
minimizing the above
minimizing the relative
minimizing the quadratic
minimizing the operational
minimizing the residual
minimizing the acoustic
minimizing the free
minimizing the global
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com