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Exact(21)
Two sets of benchmark instances were generated to evaluate the proposed algorithms.
The proposed algorithm is tested on several sets of benchmark instances.
The proposed algorithm is evaluated on four different sets of benchmark instances and compared with other algorithms from the literature.
Computational comparisons with typical SOM-based counterparts on two sets of benchmark TSP instances from TSPLIB demonstrate the superiority of the ORC-SOM in solution quality.
Extensive numerical experiments are presented on different sets of benchmark instances for the homogeneous and the heterogeneous single depot dial-a-ride problem.
Numerical results on two sets of benchmark instances with up to 70 nodes and three lines confirm the efficiency of the proposed solution algorithms.
Similar(39)
The utilization of acknowledged sets of benchmark-problem instances is essential for the correct comparison and analysis of heuristics.
Two sets of benchmarks are then generated to verify the quality of the proposed method.
We test three sets of benchmarks consisting of 21 representative instances from the current literature.
Experiments show that both approaches remarkably outperform the existing methods on different sets of benchmarks.
Numerical testing results are provided by using three sets of benchmarking instances.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com