Using multi-objective evolutionary algorithms for single-objective constrained and unconstrained optimization

In recent decades, several multi‐objective evolutionary algorithms have been successfully applied to a wide variety of multi‐objective optimization problems. Along the way, several new concepts, paradigms and methods have emerged. Additionally, some authors have claimed that the application of multi‐objective approaches might be useful even in single‐objective optimization. Thus, several guidelines for solving single‐objective optimization problems using multi‐objective methods have been proposed. This paper offers an updated survey of the main methods that allow the use of multi‐objective schemes for single‐objective optimization. In addition, several open topics and some possible paths of future work in this area are identified.