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Figure 3 Time evolution of the individual populations with controls.
Figure 1 Time evolution of the individual populations without vaccination.
Figure 2 Time evolution of the individual populations without controls.
With the evolution of the individual, the individuals begin to converge gradually.
The sub-chains track the evolution of the individual components of the state space.
Figure 2 Time evolution of the individual populations with a vaccination control action.
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Here, we describe the evolution of the individual-based and process-based forest gap model FORMIND and its application to tropical forests.
Another of the novelties of the proposed algorithm is the incorporation of local search algorithms in three stages of the algorithm: initialization of the population, evolution of the individuals and final optimization of the Pareto front.
A common concept based on simulating the evolution of the individuals that form the population using a predefined set of operators is a shared concept by all these algorithms.
The evolution of the fittest individuals from each generation are plotted as a black line.
In the organism centered view of evolution, the individual is considered the unit of selection.
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