Nature may have been the original inspiration for evolutionary algorithms, but unlike artificially

designed systems, nature has an abundance of resources and time. For man-made

systems, computational complexity ...

imprecise, human complements it. with approximate reasoning to reduce the size of the search space

as much as possible. In this paper, we apply computing with words and perceptions to add this

human-like rationality to evolutionary optimization...

of the search space. Indeed, this characteristic enables human to simplify and solve very complex problems. In contrast, evolutionary optimization (EO) as one of the most applied artificial problem solvers is based on computing with numbers since a chromosome...