Finding knee solutions in multi-objective optimization using extended angle dominance approach

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Publication Details

Author list: Sudeng S., Wattanapongsakorn N.

Publisher: Springer Science Business Media

Publication year: 2015

Journal: Lecture Notes in Electrical Engineering (1876-1100)

Volume number: 339

Start page: 673

End page: 679

Number of pages: 7

ISSN: 1876-1100

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84923174534&doi=10.1007%2f978-3-662-46578-3_79&partnerID=40&md5=9a066c561442153e6af3d253469ed9c2

Languages: English-Great Britain (EN-GB)

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Abstract

The aim of this paper is to develop a knee-based multi-objective evolutionary algorithm (MOEA) which is a method to find optimal trade-off solutions among all available solutions. In multi-objective optimization, the knee regions represent implicitly preferred parts to the decision maker (DM). The proposed approach uses the extended angle dominance concept to guide the solution process towards knee regions. The extent of the obtained solutions can be controlled by the means of user-supplied density controller parameter. The approach is verified by two and three objective knee-based test problems. The results have shown that our approach is competitive to well-known knee-based MOEAs in convergence view point. ฉ Springer-Verlag Berlin Heidelberg 2015.

Keywords

Knee-based MOEAs, Knee region, Knee solutions