Multi-objective evolutionary algorithms: Foundation, development and open issues

Abstract

Evolutionary computation (EC) has been a fascinating branch of computation inspired by a natural phenomenal of evolution. EC enables computer scientists to design effective algorithms dealing with difficult problems. This paper focuses on a special class problem called multi-objective optimization problems and evolutionary algorithms designed for it. We will overview the development of multi-objective evolutionary algorithms (MOEAs) over the years and problem difficulties and then indicate the open problems in this area. Our chief goal is to provide readers with reference material in the area of multi-objective evolutionary algorithms.