The genetic algorithm (GA) is a widely used optimization algorithm that mimics the process of natural selection to search and find useful solutions among sets of generations.
We then plotted the histogram of r i over all genes i, sampled over a few sets of generations (see Figure 3a, plotted in log-scale for r i ).
Finally, the value set of Generation V differs subtly from that of its predecessors.
The generation of the textual string for the graphical interface and the marked-up synthesis string for spoken outputs are controlled by a shared set of generation rules (Seneff & Polifroni, 2000b).
Mutation changes randomly the solution by a fixed amount, causing some new features appear in the solution and others disappear, therefore guaranteeing that all available features will have a chance of being evaluated during a set of generations.
NG and NS respectively denote sets of distribution generation and battery storage.
Sets of watermark generation keys, K g, embedding keys, K e, extraction keys, K x, and decoding keys, K d are subsets of K (i.e., K g ⊂K, K e ⊂K, K x ⊂K, and K d ⊂K).
Such sets of next-generation sequenced inter-Alu PCR amplicons, or AluScans, were employed in this study to provide an expedited scan of the mutations in exons, introns and non-coding regions.
We analyzed mtDNA divergence in two sets of 250-generation Caenorhabditis briggsae mutation-accumulation (MA) lines, each derived from a different natural isolate progenitor: strain HK104 from Okayama, Japan, and strain PB800 from Ohio, United States.
Response generation, or surface-form generation, is executed by a separate language generation server, under the guidance of a set of recursive generation rules and an associated lexicon (Baptist & Seneff, 2000).
