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The efficiency of ES algorithm is examined in various optimization problems and compared with other well-known optimization methods.
This new flux function is tested on several one dimensional problems and compared with the original Roe flux.
We made an assessment of this hardware for a few representative problems and compared the results with and without it.
Performance of ESDA is investigated using unconstrained benchmark problems and compared with CEM, Simple Genetic Algorithm and Particle Swarm Optimization.
The proposed NEA_ANCL has been evaluated on a number of benchmark problems and compared with related ensemble learning algorithms.
Secondly, it is applied to the constrained engineering problems and compared to literature works in several performance criteria.
Similar(37)
Using portable terminals and television monitors, students propose solutions to economic problems and compare the predictions they yield with data taken from the model.
We show numerical results to some representative problems, and compare them against corresponding results from physical experiments.
We solve test problems and compare results with analytical solutions of the classical model or with other numerical solutions.
The algorithm was tested for benchmark problems and compare its performance against some reported algorithms, showing its superiority.
This research investigates two-phase sampling designs for so-called expensive variable problems, and compares them with one-phase designs.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com