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When the remaining basal area was optimized together with the thinning intervals and tree selection rule, the NPV of the optimal schedule increased by 4 5%% as compared to optimizations in which remaining basal area was calculated with Eq. 2 (Tables 1 and 2).
Optimizations in which the remaining basal area was not optimized suggested immediate thinning in all three stands, another thinning after 10 years, and a third thinning 10 years later (Table 1, boldface).
Optimizations in which ingrowth was simulated resulted in higher NPVs than obtained in any previous optimization (Table 1).
The bond lengths between the molecule and the electrodes along with the overall geometry of the configuration are determined by total energy optimizations in which the distance between electrodes is fixed.
Figure 4 shows the results of a series of optimizations in which the objective was to maximize the NPV of timber revenues given its initial stands distribution and current low price, subject to increasing constraints on the fraction of old growth maintained on the forestk.
We thus undertook another series of parameter optimizations, in which we allowed all 28 parameters to vary.
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Metaheuristics [12] are used for combinatorial optimization in which an optimal solution is sought over a discrete search space.
The method is based on finite element analysis and topology optimization in which an iterative algorithm is used to find the optimal distribution of the materials.
Presently, the optimal parameters for the superelastic damper are proposed by conducting systematic design optimization, in which, the stochastic response serves as the objective function, evaluated through nonlinear random vibration analysis.
The connecting first-order saddle points, the transition states between the equilibrium geometries, are obtained using a series of constrained geometry optimization in which the breaking bonds were fixed at various lengths and optimized the remaining internal coordinates.
The purpose of this article is to present an approach to optimization in which every target is considered as a separate objective to be optimized.
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