This paper studies the optimization of complex-order algorithms for the
discrete-time control of linear and nonlinear systems. The fundamentals of fractional
systems and genetic algorithms are introduced. Based on these concepts, complexorder
control schemes and their implementation are evaluated in the perspective
of evolutionary optimization. The results demonstrate not only that complex-order
derivatives constitute a valuable alternative for deriving control algorithms, but also
the feasibility of the adopted optimization strategy
