Combining evolutionary games with adaptive networks, an entangled model between strategy evolution and structure adaptation is researched in this paper.
The properties of the proposed structure adaptation algorithm are illustrated in a numerical example.
Contrary to the recent algorithms, the proposed structure adaptation algorithm can be applied on-line during the identification process.
The proposed structure adaptation algorithm maintains a trade-off between the mean square error and convergence speed.
The design provides a systematic procedure with mathematical analysis to select the variable key parameters that affect the structure adaptation.
Paying specific attention to social pressure and support is an example of a deep structure adaptation in this study.
For evaluating the language used in the instruments and the structure adaptation, 40 children who were aged from 8to1414 years were recruited from general populations that were attending public schools in Piracicaba, SP, Brazil.
NGS techniques now offer much better opportunities for discovering population structure, adaptation, selection, and species delimitation and for detecting changes in any of these as a consequence of environmental change (Larson et al. 2014; Wagner et al. 2014).
Therefore, this species is a useful test case for characterizing patterns of polymorphism and diversity across the genome and as a point of comparison for understanding its origin, population genetic structure, adaptation, and the demographic processes governing its evolutionary history in NA.
