This paper uses a socio-politically inspired meta-heuristic
algorithm based on the behaviour of voters and candidates named modified
presidential election algorithm (PEA-II) for proportional-integral-derivative
(PID) controller design. The incentive mechanism of PEA-II is enhancing the
knowledge sharing and search capability of the canonical presidential election
algorithm (PEA) by introducing a new positive advertisement and migration
operator. By the new positive advertisement, PEA-II employs the best local and
global knowledge of the agents to conduct the searching process in the solution
space. The migration operator maintains diversity in the population and keeps
the algorithm away from converging too fast before exploring the entire
solution space. The proposed approach is evaluated using three well-known
PID controller plants. The results show the superiority of the proposed
algorithm in comparison with other counterparts.