From this point of view, NJ is "optimal" when the algorithm outputs the tree which minimizes the balanced minimum evolution criterion.
Dan Levy and Lior Patcher showed that the N-Net is a greedy algorithm for the traveling salesman problem that minimizes the balanced length of the split system at every step and it is optimal for circular distance matrices [ 12].
The unbalanced load voltages will also cause fluctuations in the DC bus voltage, and thus the control objective of the parallel converter is to keep the three-phase load voltages sinusoidal and balanced, so as to minimize the impact of the load voltages on the DC bus voltage.
An extension to the pooling problem is the balanced pooling problem, where we seek to minimize the cost of partitioning BACs into pools, such that the number of BACs in each pool is exactly h= m/ n.
SARpy can be customized so as to minimize the number of FP, or in a more balanced way, to improve the accuracy.
The formation of Alu exons thus provides an example of how the fine-balanced mechanisms can act to minimize the chance that disease would occur as a side effect of evolutionary processes.
To minimize the effect of subjects gaining information from previous assignments, we systematically balanced which object-treatment combination is first experienced in each group.
Compensatory mutations typically occur under drug selection to minimize the biological cost of acquiring the resistance mutation, and the resulting balanced genome minimizes the genetic burden of resistance [16].
For this aim, they considered an objective function to minimize the maximum transportation distance related to distribution centers and used the formula of balanced star comprehensive tree; finally, they used the genetic algorithm for solving.
▪ The balanced pooling problem asks to partition m BACs into n pools so as to minimize the above cost function, with the additional constraint that the number of BACs per each pool is exactly h= m/ n.
Though the balanced random forest algorithm is more effective at classifying imbalanced datasets than an unmodified random forest, it is still designed to minimize the overall error.
