  Over the past 30 years many researchers in the field of evolutionary
computation have put a lot of effort to introduce various approaches for
solving hard problems. Most of these problems have been inspired by major
industries so that solving them, by providing either optimal or near optimal
solution, was of major significance. Indeed, this was a very promising
trajectory as advances in these problem-solving approaches could result in
adding values to major industries. In this paper we revisit this trajectory to
find out whether the attempts that started three decades ago are still aligned
with the same goal, as complexities of real-world problems increased
significantly. We present some examples of modern real-world problems, discuss
why they might be difficult to solve, and whether there is any mismatch between
these examples and the problems that are investigated in the evolutionary
computation area.
