The phrase "a combination of evolutionary" is correct and usable in written English.
It can be used when discussing the merging or blending of different evolutionary concepts, processes, or traits.
Example: "The study presents a combination of evolutionary theories that explain the diversity of species."
Alternatives: "a blend of evolutionary" or "a mixture of evolutionary".
To overcome this limitation, we used a combination of evolutionary and engineering approaches to generate an optimized ribozyme.
The design evolution takes place in a combination of evolutionary computing, Constructal Law and finite element analysis.
Memetic Algorithm (MA) is a combination of Evolutionary Algorithms (EAs) and Local Search LSS) operators known as hybrid algorithms.
We use a combination of evolutionary theory, experimental host-parasite systems, epidemiological models of wildlife and human tropical disease, and field entomology.
Moreover, we propose a trainable feature descriptor based on a combination of evolutionary algorithms and Binary Robust Independent Elementary Features, which we call GRIEF (Generated BRIEF).
Finally, a combination of evolutionary, structural, and sequence analyses identified characteristics that might prime proteins, such as Amycolatopsis OSBS/NAAAR, for the evolution of new activities.
In our previous work, we introduced a derivative-free memetic algorithm (MA) for design optimization which is a combination of an evolutionary algorithm (EA) and a derivative-free optimization (DFO) method.
In the detection phase, a combination of multiobjective evolutionary optimization algorithm with PSO in the context of the RBF neural network has been applied in order to improve the accuracy of DoS attack prediction.
Gaucher works on developing computational methods of detecting the creation of original proteins from changes in gene sequences and hopes to use a combination of computational, evolutionary, and structural methods to locate sites on genomes where mutations or copy errors may create new proteins.
In many cases, a mosaic phylogenetic distribution of RNA motifs in microbial genomes is a likely to have resulted from a combination of both evolutionary scenarios.
Based on data from several organisms, including fish, rRNA gene families seem to evolve according to a combination of the evolutionary processes of birth-and-death and concerted evolution [ 6, 61], which could explain the variability observed among related taxa.
