Selection Strategies of Evolutionary Algorithms in Multiobjective Optimization

The study on selection strategies of evolutionary algorithms in multiobjective optimization (MOEAs) is scarce.This paper mostly researches on various selection strategies of MOEAs. Firstly, the paper discusses how to construct an appropriate fitness function in multiobjective optimization problem, then, selection strategies are classified as six categories through systematically analyzing various MOEAs. To each selection strategy, we not only analyze its operation mechanism but also point out its advantages, weaknesses and applications. Although our study is not profound, it will be helpful to design more efficient MOEAs.