Sentence examples for constraints population from inspiring English sources

Given political constraints, population density and the difference in land ownership — individual landowners in Europe generally do not own mineral rights under their land — the model in Europe will be different, he said.

Strategic parameters of the FPGA are characterized in detail, i.e., the evaluation function and its constraints, population size, operation styles of selection, crossover operation and probability, mutation operation and probability.

Fourth, the substitution model can be elaborated to include additional effects, such as changes in selective constraints, population size, mutation rates at different points in evolution, or a relaxation of certain assumptions such as independence of sites.

Further, although these boundaries are often designed to meet constraints on population thresholds, there still remains much variation, in terms of population size, between such areas and therefore when comparing health outcomes such as mortality rates, or inequalities in mortality rates, across regions we are faced with a variation of the MAUP scale effect and must seek potential solutions.

Kazakh culture has also played a central role in shaping this genetic variation through constraints on population size and marriage practices within traditional Kazakh social structure.

The comparisons will use nonparametric statistical tests when required by the constraints of population size or distributions.

Therefore, we conclude, in agreement with others [ 16], that the observed increase of d N /d S values for the mitochondrial ATPase genes in humans cannot be interpreted in favor of positive selection at colder climate conditions, but rather is the result of the release of strong evolutionary constraints during population expansion and migration of modern humans.

Given that the broad variation in fungal genome sizes and structure is accompanied by changes in lifestyles that can impose different constraints on population sizes, we asked whether the genome evolution in Ascomycota could be explained within a framework of nonadaptive evolution.

The results provide a guide to the design of evolutionary algorithms for generating ANN based robot controllers, especially when, due to computational constraints, the populations to be used are small with respect to the complexity of the problem to be solved.

Before further consideration of study findings, the importance of "risk-based" screening and some constraints of population-level CRC screening must be addressed.

This means that constraints affect populations at a given time and may limit or bias their potential for evolutionary change, but that these constraints don't necessarily remain constant over long evolutionary time spans [ 2].