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Figure 2. The flowchart of the PSO method
The PSO procedure is ceased if the change of
the best value of objective function is sufficient-
ly small for a given number of time steps l , i.e.,
when
where ε 1 is an assumed low-value number.
The flowchart of the PSO method is presented
in Figure 2.
The optimization problem presented above
could also be solved using another evolution
optimization method, such as genetic algorithm,
evaluation strategies or ant colony method. For
example, the genetic algorithm was used by Singh
F k
(
+ −
l
)
F k
( )
ε 1
F k
(
+
l
),
(8)
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