Sentence examples for ranking selection from inspiring English sources

Linear Ranking Selection: This operator follows the strategy of selecting the individuals in the population with a probability directly proportional to its fitness value.

Ranking selection strategy is used in the proposed algorithm to select individuals from the current population into next generation.

Technically, the proposed RGA-RDD integrates three specially designed evolutionary operators – the Ranking Selection (RS), Direction-Based Crossover (DBX), and the Dynamic Random Mutation (DRM) – as a whole to mimic a specific evolutionary process.

Different from some conventional RCGAs that operate evolutionary operators in a series framework, the proposed RCGA implements three specially designed evolutionary operators, named the ranking selection (RS), direction-based crossover (DBX), and the dynamic random mutation (DRM), to mimic a specific evolutionary process that has a parallel-structured inner loop.

In this work, a ranking selection is chosen for selection mechanism.

The NSGA-II employs the non-dominated sorting and ranking selection with the crowded comparison operator (Deb et al. 2000).

This ranked selection was backed by the ranking obtained from two non-parametric tests, namely Wilcoxon rank-sum test (WRST, [ 15]) and Fisher's exact test (FET, [ 16]) after methylation status discretization [ 17].

A stochastic-ranking selection scheme based on the prediction accuracy is designed to improve EA + predictor under unreliable prediction, where the prediction accuracy is based on the rank of the individuals but not the fitness.

Some convenient limit properties of usual information criteria are given for cointegrating rank selection.

We then describe stochastic gradient and develop recursive least-squares adaptive algorithms for their efficient implementation along with automatic rank selection techniques.

Based on this result, we suggest algorithms for the model rank selection and compare them with the algorithm suggested by Bunea, She and Wegkamp.