The phrase "advantage of generating" is correct and usable in written English.
It can be used when discussing the benefits or positive outcomes associated with the act of generating something, such as ideas, data, or resources.
Example: "The advantage of generating innovative solutions is that it can lead to increased efficiency and productivity in the workplace."
Alternatives: "benefit of creating" or "merit of producing".
PacBio has the advantage of generating long reads but at a throughput lower than that of the second-generation sequencers.
This approach has the advantage of generating diverse electroosmotic and chromatographic properties without chemical reactions.
The approach offers the significant advantage of generating progeny functions for volumetric (3D) data and projected image (2D) data.
This type of model would have the advantage of generating productive employment and stimulating technological innovation in the countries of the south.
On the other hand, bottom blowing has the advantage of generating a large contact surface among all reactants, thus improving metallurgical reactions and process control.
An advantage of generating several solutions is the possibility of examining the magnitude of change required, in terms of the (re- allocation of re- allocationlinics.
Inspired by a Capstone Microturbines, which operate like jet engines, Vasquez hopes that the future on-site generation at the museum will take advantage of generated heat for other uses instead of for lift.
In addition to receiving random submissions, the guys of CollegeHumor have recently seen the advantages of generating their own content — or branding content in the public domain as their own.
While generating such a model is cumbersome and time consuming, there are advantages of generating them in an automatic manner using the resources of the grid.
Compared to genetic algorithm, harmony search algorithm has advantages of generating a new vector after considering all of the existing vectors and requiring only a few number of parameters to be determined before the run of the algorithm.
Therefore, it has the advantages of generating consistent and efficient estimates without relying on distribution assumptions, and accommodating a certain form of heteroscedasticity.
