Toward a unifying framework for evolutionary processes.

ABSTRACT: The theory of population genetics and evolutionary computation have been evolving separately for nearly 30 years. Many results have been independently obtained in both fields and many others are unique to its respective field. We aim to bridge this gap by developing a unifying framework for evolutionary processes that allows both evolutionary algorithms and population genetics models to be cast in the same formal framework. The framework we present here decomposes the evolutionary process into its several components in order to facilitate the identification of similarities between different models. In particular, we propose a classification of evolutionary operators based on the defining properties of the different components. We cast several commonly used operators from both fields into t

SUBMITTER: Paixao T 

PROVIDER: S-EPMC4572021 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature