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"Protecting these small shallow wetlands with grass cover for the wildlife has been critical for the return of the ducks," said Ron Reynolds, the biologist who leads the United States Fish and Wildlife Service's habitat and population evaluation team that tracks the ducks here.
After generating the first population, evaluation of each chromosome was carried out using simulation.
Open image in new window Fig. 4 The population generation mechanism Open image in new window Fig. 5 The population evaluation mechanism.
A model for bacterial population evaluation was built by using a back propagation neural network (BPNN) based on sensor responses from the E-nose.
By using watersheds that cover 91% of the Swedish land area and AES payments to 83% of Swedish farms, the study is almost a full population evaluation.
The main steps of GA approach are (Kuo et al. 2001): Chromosome representation Generation of initial population Evaluation of fitness function Selection process Genetic operations (crossover, mutation) Selection of best chromosomes according to the fitness values Termination criteria.
Values concerning QALY loss may differ intensely as they depend on epidemiology, population, evaluation technique, and the general setting in which those values were surveyed [ 39].
Our GA requires a representation of the conformations, initialisation of the population, evaluation of the solution in each iteration, and a set of genetic operators on the conformations.
As the sensitivity of a surveillance system depends on the prevalence of infection in the population, evaluation needs to be performed with reference to a selected population prevalence of infection, or 'design prevalence' [ 30], which is specified at the infection status node of the scenario tree.
In the studies that have been done for the general population, evaluation of dietary exposure frequently involves mathematical modeling of exposure based on food consumption patterns and information on the levels of pesticides in those foods (Clayton et al. 2003; MacIntosh et al. 1996, 1999b, 2001).
These results are consistent with those of de Roos et al. [ 30], who concluded that across-population evaluations were preferred to within-population evaluations when the populations were closely related, marker density was high, or the number of animals with phenotypic records was small.
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