Evolutionary multiobjective optimization

Abstract

This chapter provides an overview of the branch of evolutionary computation that is dedicated to solving optimization problems with multiple objective functions. On the one hand, it sketches the foundations of multiobjective optimization and discusses general approaches to deal with multiple optimization criteria. On the other hand, it summarizes algorithmic concepts that are employed when designing corresponding search methods and briefly comments on the issue of performance assessment. This chapter concludes with a summary of the main application areas of evolutionary multiobjective optimization, namely, learning/decision making and multiobjectivization.