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The system objective is to minimize mean tardiness.
The optimization criteria are to simultaneously minimize mean weighted flow time and mean weighted tardiness.
We propose a hybrid genetic algorithm (GA) - Ant Colony Optimization (ACO) algorithm to minimize mean completion time of offloaded tasks for the whole system.
This paper presents an efficient continuous real-time routing strategy, namely threshold-based alternate routing (TAR), to minimize mean flowtime of parts in a FMS with routing flexibility.
The levels of these three critical formulation attributes were optimized by FbD within established design space to minimize mean particle size, poly dispersity index, and maximize encapsulation efficiency of SAT-NP.
The robust airfoil optimization is aimed to minimize mean values and variances of drag coef-ficients while satisfying the lift and thickness constraints over a range of Mach numbers.
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Robust minimax designs and weights are then constructed to minimize mean-squared-error-based loss functions of the estimates.
They minimize means testing and they reduce poverty.
If accurate forecasting is the goal, minimizing mean square error is one reasonable objective, since it accounts for both bias and efficiency".).
The threshold concept and the performance of TAR in minimizing mean flowtime are tested with extensive experimentation, involving intricate experimental design.
In [5], the minimizing mean square error (MMSE) criterion was adopted to optimize the beamforming coefficients.
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