This article proposes tuning of PID controllers through optimization
techniques known as collective intelligence algorithms: the colony of ants
and cuckoo search, applied to the temperature control of a PCT-2 plant.
The dynamic behavior analysis of the controllers tuned by the application of
collective intelligence algorithms were performed in comparison to a controller
tuned by the genetic algorithm method and a controller designed with the
PID tuner tool, obtaining favorable results in the tuning of the algorithms
cuckoo search and ants colony in comparison to the PID tuner method
and with a faster execution speed than the genetic algorithms method. 

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