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This partitioning is also observable in the general case, as shown in Fig. 8 for 80-node randomly generated networks.
Structural properties of generated networks in the simulations.
In the next section, we simulate the PFA_SPF algorithm over randomly generated networks.
The required statistics were obtained through simulations of randomly generated networks.
The generated networks showed a certain extent of mixing between the two materials.
For each network type, 10 randomly generated networks of 100 agents each were considered.
Here, the data for random networks is the average value of 50 random generated networks.
We compare porosity and permeability predicted by the GA generated networks with experimental values and find an excellent match.
Experimental results obtained by applying a number of algorithms to a set of randomly generated networks are presented and compared.
We generated networks with progressive percentages of degradation.
Three of the generated networks are depicted in Fig. 1 for three different values of the temptation to defect.
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