Sentence examples for genetic objectives from inspiring English sources

Therefore, the large confidence limits around our Ne estimates, limit our ability to definitively state whether the current size of Kirtland's warbler populations can meet conservation genetic objectives such as maintaining 90% of the initial diversity for a minimum of 100 years [ 31], but the lower range of our Ne estimates are too low for genetic variability to be retained in the long-term.

The test questions were based on a validated questionnaire that identified the genetic learning objectives and covered the oncogenetics topics of the G-eCPD.

Effective extraction of nucleic acid from biological samples is an essential technique for a variety of reasons such as genetic testing, objective identification, and analysis of forensic evidence.

Various methods of optimization such as MOGA (multi-objective Genetic algorithm), MOSA (multi-objective simulated annealing), MOPSO (multi-objective particle swarm optimization) and NSGA (non-sorted Genetic algorithm) are used and compared.

In the present study, we developed a multi-objective genetic algorithm, MODENA (Multi-Objective DEsign of Nucleic Acids), for RNA inverse folding.

Hooke Jeeves algorithm, Multi-Objective Genetic Algorithm II, and Multi-Objective Particle Swarm Optimization algorithm are evaluated by using the proposed performance indices and benchmark design problem.

This paper proposes a new multi-objective genetic algorithm, namely simulated annealing based multi-objective genetic algorithm (saMOGA), to resolve the availability allocation and optimization problems of a repairable system, specifically a parallel series system.

Transcriptome analysis from only one plant organ or tissue does not provide a full transcript catalogue, even though it can serve numerous specific genetic and breeding objectives [ 25].

Objectives: Genetic variants in Toll-like receptors (TLRs) are considered a potential indicator for host susceptibility to and outcome of several infectious diseases including tuberculosis.

The performance of a multi-objective genetic algorithm showed that it is better to couple the two objectives in a single objective genetic algorithm.

A multi-objective genetic algorithm (MOGA) methodology is developed and applied with two objective functions, viz.