A Multiobjective Evolutionary Algorithm Guided by Averaged Hausdorff Distance to Aspiration Sets

Rudolph G, Schütze O, Grimme C, Trautmann H


Zusammenfassung
The incorporation of expert knowledge into multiobjective optimization is an important issue which in this paper is reflected in terms of an aspiration set consisting of multiple reference points. The behaviour of the recently introduced evolutionary multiobjective algorithm AS-EMOA is analysed in detail and comparatively studied for biobjective optimization problems w.r.t. R-NSGA2 and a respective variant. It will be shown that the averaged Hausdorff distance, integrated into AS-EMOA, is an effcient means to accurately approximate the desired aspiration set.

Schlüsselwörter
multi-objective optimization; aspiration set; preferences



Publikationstyp
Buchbeitrag (Sammel-, Herausgeberband)

Begutachtet
Ja

Publikationsstatus
Veröffentlicht

Jahr
2014

Buchtitel
EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V

Herausgeber
Tantar A, Tantar E, Sun J, Zhang W, Ding Q, Schütze O, Emmerich M, Legrand P, Del Moral P, Coello Coello CA

Seiten
261-273

Band
288

Reihe
Advances in Intelligent Systems and Computing

Verlag
Springer International Publishing

Sprache
Englisch

ISBN
978-3-319-07493-1

DOI

Gesamter Text