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11 - Computer Science and Informatics

Brunel University London

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Article title

Approximating Pareto frontier using a hybrid line search approach

Type

D - Journal article

DOI

10.1016/j.ins.2009.12.018

Title of journal

Information Sciences

Article number

Volume number

180

Issue number

First page of article

2674

ISSN of journal

00200255

Year of publication

2010

URL

http://www.sciencedirect.com/science/article/pii/S0020025509005489/pdfft?md5=096687c5ee226708c323d0af8d52c250&pid=1-s2.0-S0020025509005489-main.pdf

Number of additional authors

Additional information

<22> Published in the leading information science journal (IF=3.643), the paper proposes a hybrid soft computing method suitable for multi-objective optimisation problems involving a high number of objective functions. The paper was cited by Coello et al. 2013 and Pardalos et al. 2012, two of the most-known research groups in optimisation, in the context of project portfolio selection and risk management. This work has also contributed to the success of the grant EU FP7 ITN IPROCOM.

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract