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A Short Tutorial on Evolutionary Multiobjective Optimization

Lecture notes in computer sciencePublished 1 January 2001
Carlos A. Coello Coello
Citations211
SJR quartileQ2
SJR score0.35
SNIP0.55

TL;DR

The most commonly used evolutionary multiobjective optimization techniques will be described and criticized, including some of their applications, and Theory, test functions and metrics will be discussed.

Abstract

This tutorial will review some of the basic concepts related to evolutionary multiobjective optimization (i.e., the use of evolutionary algorithms to handle more than one objective function at a time). The most commonly used evolutionary multiobjective optimization techniques will be described and criticized, including some of their applications. Theory, test functions and metrics will be also discussed. Finally, we will provide some possible paths of future research in this area.

Keywords

Computer Science