Sentence examples for proposed algorithm is evaluated on from inspiring English sources

The performance of the proposed algorithm is evaluated on six combinatorial optimisation problems from a cross-domain heuristic search benchmark.

The proposed algorithm is evaluated on a set of 24 well-known benchmark functions and five practical engineering problems.

The proposed algorithm is evaluated on four different sets of benchmark instances and compared with other algorithms from the literature.

The proposed algorithm is evaluated on a modified IEEE 37-Node Test Feeder and the simulation studies are carried out using OpenDSS and MATLAB.

In this section, the proposed algorithm is evaluated on several key criteria; specifically, the sensitivity of the scan correction to localised distortions, the ability to correct small sample rotations and the fidelity of detail preservation at edges/boundaries.

The accuracy of the proposed algorithm is evaluated on two test cases for which analytical solutions exist: an academic problem and a physical configuration including an interface with shear viscosity.

The proposed algorithm was evaluated on real data acquired with two different sensor settings: the first one implements a Distributed Microphone Network (DMN) that consists of a set of microphones distributed in space to observe an acoustic scene from different points, while the second one consists of a linear array.

The performance of the proposed algorithm was evaluated on two datasets using two metrics; pitch accuracy and standard deviation of fine pitch error.

The proposed algorithm was evaluated on three diverse datasets, namely TPCH, PKDD and UCI benchmarks and showed considerable reduction in classification time without any loss of prediction accuracy.

Validation with real measurements: In this paper, the localization performance of the proposed algorithm was evaluated on the basis of statistical indoor channel models specifically obtained for benchmarking data communication systems.

The proposed algorithms are evaluated on News Broadcast database (NDTV), and their performance comparisons are made between each another as well as with some well-known clustering algorithms.