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Because matrices of alpha and sigma parameters are calculated, the models do not constrain selection strength and the random drift disturbances to be isotropic in shape space.
However, pleiotropy may also constrain selection in the simultaneous or fluctuating presence of different antibiotics, or – in contrast – facilitate escape from epistatic constraints to adaptation in the presence of a single antibiotic (Goulart et al. 2013; Schenk and De Visser 2013).
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From this observation, it is clear that to make the value Θ, the difference in the average MSE between the unconstrained and constrained systems, become as positive as possible, the constrained selection method should result in the cost penalty Δ as small as possible.
Meanwhile, the authors in [13] considered linear optimization to devise their constrained selection scheme.
In [11, 12], allocation algorithms were developed to realize the constrained selection scheme.
Some research works have studied the constrained selection approach in the literature, such as [11 13].
To overcome these drawbacks, we have proposed an optimal constrained selection scheme that can equally allocate data subcarriers among transmit antennas by means of linear optimization.
Simulation results demonstrate that a significant improvement in terms of error performance could be achieved in the proposed system with a constrained selection compared to its counterpart.
As a balance constraint is required, the constrained selection (i.e., power-balance selection) scheme should retain the benefits in terms of error performance or capacity as large as possible.
Based on their successful simulation with closely constrained selection of input parameters, they propose to use the model to produce quite realistic first-order predictions of run-out of potential slides and to outline potential hazard areas.
Hence, with the definition of Δ as shown in (36), it is expected that the proposed constrained selection scheme based on linear optimization will guarantee the minimum achievable value of Δ.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com