Sentence examples for major heuristics based from inspiring English sources

The algorithm utilizes two major heuristics based solutions to make the clustering capable to handle large datasets.

Here, we propose two different heuristics based on our designing objective, namely Bandwidth-Oriented Heuristics (BOH) and Switch-Oriented Heuristics (SOH).

Other meta-algorithms have also been investigated such as beam search heuristics [93, 111], ensembles of heuristics [42], adaptive scheduling heuristics based on bottleneck machines [59], and NEH heuristics [136].

To speed up the solving process, three heuristic methods based on mixed integer linear programming (MILP) are presented in this paper: Relax and Fix heuristics, heuristics based on a Corridor Method and Increasing Radius heuristics.

CD-HIT uses a heuristics based on statistical k-mer filtering to speed up clustering calculations.

The two methods make use of heuristics based on entity distance.

Usage of heuristics based distances is definitely justified because for a fixed number of distances, using no heuristics results in the poorest quality.

Filter methods select predictive subset of the features using heuristics based on characteristics of the data.

Exhaustive search algorithms must be supported by heuristics based on biological properties of the modeled objects.

It is also beneficial to mix heuristics based and random distances, with s = 0.5 being fairly good in practice.

For larger problems, we propose two meta-heuristics based algorithms.