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As a result a set of benchmark experiments were created.
A set of benchmark examples in two dimensions are presented.
A set of benchmark problems shows that our method is stable and convergent.
For this purpose a well-defined set of benchmark configurations is introduced.
The improved algorithm is analyzed and tested on a set of benchmark test cases.
The performance of the CTLA is investigated by using a set of benchmark functions.
Computational results comparing the models on a set of benchmark problems are also presented.
A comprehensive experimental study is conducted on a set of benchmark functions.
We test this new proposal in a set of benchmark functions for continuous optimization problems.
Several variants of the algorithm are tested and compared on a large set of benchmark problems.
A set of benchmark cases, relevant to cardiovascular flows, will be introduced for numerical code validations.
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