The phrase "a few evolutionary" is correct and usable in written English.
It can be used when discussing concepts or changes related to evolution, typically in a scientific or academic context.
Example: "In the study of species adaptation, we observed a few evolutionary changes that significantly impacted their survival."
Alternatives: "several evolutionary" or "some evolutionary".
It too is primitive compared with later hominins, though it does share a few evolutionary novelties associated with hominins.
Kottonmouth Kings are down a few evolutionary rungs from the likes of the Beastie Boys and Rage Against the Machine, and they make Limp Bizkit sound funky.
Despite a few evolutionary explanations that strain credulity — that we owe our large brains to calorie deprivation, say — "Last Ape Standing" makes for a lively journey.
The rap-rock band Kottonmouth Kings is down a few evolutionary rungs from the likes of the Beastie Boys and Rage Against the Machine and make Limp Bizkit sound funky.
The Museum of Natural History of México City has a few evolutionary trees, none of which is accurate as they were conceived as merely decorative.
In this algorithm, the design process is constituted by a few evolutionary stages each of which adds a new component to the design [26].
This separation is because the beta Proteobacteria and the upper-gamma Proteobacteria exhibit a smooth continuity of relatively few evolutionary events with respect to aromatic biosynthesis, in striking contrast to extraordinarily dynamic evolutionary events in the lower-gamma Proteobacteria.
Second, very few evolutionary biologists have a first-hand understanding of macroevolution, and they do not spend substantial time on it in their college courses.
It shares with later hominins (members of the human lineage) a few key evolutionary novelties: though its skull and teeth are quite apelike, the upper canines are less projecting, with a shape more like those of later species.
A few potential evolutionary, developmental, and information theoretic reasons, mechanisms, and models for constrained transcension of advanced intelligence are briefly considered.
In addition to presenting a comprehensive review on the various swarm and evolutionary computing schemes employed for system identification as well as digital filter design, the paper is also envisioned to act as a quick reference for a few popular evolutionary computing algorithms.
