Sentence examples for algorithm concepts from inspiring English sources

The algorithms are enhanced by combining variants of the simulated annealing technique with other algorithm concepts such as (i) knowledge exploitation and (ii) parallelism.

The flow of genetic algorithm concepts is shown in Fig. 3.

Algorithm 1 roots from the genetic algorithm concepts which, the same as other machine learning-based algorithms such as particle swarm optimization, is based on (1) searching around the current solution, i.e., testing solutions with small random changes in the parameters of the current solution as well as (2) reducing the effect of local minima by mutation.

Developing such software is thus a real challenge, as it requires a large spectrum of competence from high-level data structure and algorithm concepts to tiny details of implementation.

Figure 3: Illustration of the genetic algorithm concept, showing an example iteration of the algorithm with a population of three individuals, each consisting of four genes.

The algorithm, concept, and physical rationale have been presented.

Open image in new window Fig. 5 Water-filling algorithm concept.

To explain the algorithm concept, we will reuse a part of Figure 7, up to Point C. Algorithm Description.

In [11], the authors apply the epidemic algorithm concept of [12] to partially connected ad-hoc networks.

The algorithm uses concepts of partitions and pools to store intermediate solutions and corresponding objectives.

In this algorithm, all concepts, definitions and formulations for conventional local outlier detection approach (LOF) are generalized to include uncertainty information.