Sentence examples for benchmark available from inspiring English sources

Comparing our results with previous work is difficult, as there is no common benchmark available.

As there is no benchmark available in the literature, an efficient genetic algorithm enhanced by a multi-parent crossover operator is designed to solve the problem in order to validate the results obtained using BCIWO.

Due to the nonlinear nature of the original formulation and noticing that there is no benchmark available in the literature to justify and validate the results, particle swarm optimization (PSO) and simulated annealing (SA) algorithms are represented as well.

As there is no benchmark available in the literature, the non-dominated ranking genetic algorithm is developed to validate the results obtained and some test problems are provided to show the applicability of the proposed methodology and evaluate the performance of the algorithms.

Various representations of the structural behaviour of these beams are given in closed form which can also be used to benchmark available modelling techniques, i.e. finite element and finite difference formulations, which require a spatial discretisation to be specified as well as the time discretisation to perform a time analysis.

As there is no benchmark available in the literature, the parameter-tuned multi-objective simulated annealing algorithm (MOSA) and the popular non-dominated sorting genetic algorithm (NSGA-II) are developed to validate the results obtained and to evaluate the performance of MOBBO using randomly generated test instances.

The developed optimization model was applied in two benchmarks available in the literature.

We make all processed versions of the data sets that we use in the benchmarking available at https://github.com/n-otter/PH-roadmap/tree/master/data_sets.

Given the large number of benchmarks available, selecting these benchmarks for reactor calculations and validation of simulation codes for specific or target applications can be rather tedious and difficult.

We showed examples of some popular applications that would benefit from the proposed dataset, such as the video source identification, for which there are no sizeable benchmarks available in the research community.

The various algorithms were tested using 12 benchmark networks available in the literature.