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Simulation results of optimising some challenging benchmark problems suggest that both the proposed single-objective and multi-objective optimisation algorithms outperform some of the other well-known Evolutionary Algorithms (EAs).
While similar results concerning the performance of PSO and DE were obtained in a study that optimizes the parameters of metabolic networks [ 21], comparative studies between PSO and DE on various benchmark problems suggest that DE often performs better than PSO [ 52, 53].
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Experimental studies on WFG benchmark problems and the real-world reservoir flood control operation problems suggest that the two improvement strategies are very effective in overcoming the two shortcomings of the IPBI scalarizing function.
Our extension is validated by its application to the benchmark problem suggested by Wheeler [2].
The promising results obtained with DES for this benchmark test case suggest that this hybrid method is well suited for complex problems of high-Reynolds number bluff body aerodynamics and fluid structure coupling.
There are several benchmark trials to suggest that multicentre trials are not only feasible, but should be the current norm.
On the nonprofit programs side, analytics now look at early benchmarks that suggest that earlier intervention helps participants more quickly achieve success.
This systematic comparison requires adequate benchmark problems, that is, reference calibration case studies of realistic size and nature that can be easily used by the community.
The algorithms are verified using five benchmark problems that have been widely adopted in literature.
Each algorithm is followed by a computational study on benchmark problems that analyze the computational behavior of the presented algorithms.
Additionally, we provide two benchmark problems that use real data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com