August 2020
Intermediate to advanced
362 pages
12h 58m
English
Content preview from Swarm Intelligence Algorithms
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Conclusions 41
In the fourteenth step, we determine the best bacterium of the new popu-
lation and then compare with the best of the old one. If the new best is
better, we replace with the new; otherwise not. For example, the best fitness
of the updated population is F it
new
best
= 0.3095, which corresponds to bac-
terium x
new
best
= [0.3203 1.0687]
T
. Here we are minimising the function OF (.)
and Fit
new
best
< F it
best
thus x
best
= x
new
best
= [0.3203 1.0687]
T
.
In the fifteenth step, we check whether the maximum number of elimination-
dispersal events is reached. If yes, move to the sixteenth step; otherwise return
to the fifth step.
In the sixteenth step, we print ...
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