In 2005, Karaboga [7] proposed ABC algorithm, and Basturk and Karaboga [8 11] compared the performance of ABC with some other popular population-based metaheuristic algorithms.
The most popular population-based study design for binary traits (whether focusing on candidate genes, regions, or the entire genome) is the case-control study.
In this paper, an attempt is made to apply six most popular population-based non-traditional optimization algorithms, i.e. genetic algorithm, particle swarm optimization, sheep flock algorithm, ant colony optimization, artificial bee colony and biogeography-based optimization for single and multi-objective optimization of two WEDM processes.
This study describes the statistical techniques that a reader must be familiar with in order to understand the information within articles using a popular population-level dataset.
Open consent has proven particularly popular with population biobank projects.
To date, GBS is becoming popular for population studies, genetic diversity, QTL mapping, and genomic selection (He et al. 2014).
The conception of the evolvability is still popular among population geneticists.
This test has proven very popular in population genetics and relies on the fact that nonzero eigenvalues of a matrix follow a Tracy Widom distribution.
It is a sensitive method to distinguish even minimal allele differences [ 76, 77], which has been widely used in human genetics and became popular in population genetics and evolutionary ecology as well [ 19, 27, 62, 78- 80].
SSCP is a sensitive method that can distinguish minimal allele differences; it has been widely used in human genetics and is popular in population genetics and evolutionary ecology [ 11, 20, 29].
