Sentence examples for performance of exact from inspiring English sources

Even though the performance of exact methods such as branch and bound is superior to heuristic and meta-heuristic techniques, exact methods fail to solve large size problems.

Heuristics and metaheuristics are inevitable ingredients of most of the general purpose ILP solvers today, because of their contribution to the significant boost of the performance of exact methods.

The overall performance of ExaCT is presented in Table 4.

It is also true, however, that GEMMA was the method that yielded more method-specific associations (CHOL 45 at SSC3 and SSC10, LDL45 at SSC10 and SSC13, TRIG 190 at two SSC6 regions), something that might be explained by an increase in statistical power associated with the performance of exact instead of approximate significance tests.

Several studies have compared the performances of exact algorithms (integer programming) and heuristic methods in the solution of conservation resource allocation problems, with the conclusion that exact methods are always preferable.

This paper aims to bring a stronger attention of both the exact and metaheuristic communities to still unexplored possibilities for performance improvements of exact and heuristic multi-objective optimization algorithms.

We compare the performance of these exact methods with a state of the art conjugate gradient solver.

Hence, the results of our experiments should not be viewed as providing direct assessment of performance of the exact implementations of the CTD and LA methods developed by the original authors and used in studies reported in [16], [17].

In this section we illustrate the performance of the exact linkage algorithm for classifying individuals into categories, by applying it to the output from Markov chain samplers applied to simulated data sets - where the correct classification is known to us.

However, with subcarrier reordering approach, we almost get the same performance as that of exact blind algorithm without requiring the channel statistics.

We comprehensively compare the performance of these five exact approaches under different study design settings.