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A Scalarizing One-Stage Algorithm for Efficient Multi-Objective Optimization

A Scalarizing One-Stage Algorithm for Efficient Multi-Objective Optimization
A Scalarizing One-Stage Algorithm for Efficient Multi-Objective Optimization
A novel kriging-assisted algorithm is proposed for computationally expensive multi-objective optimization problems, such as those which arise in electromagnetic design. The algorithm combines the multiple objectives into a single objective, which it then optimizes using a one-stage method from single-objective optimization. Inequality and equality constraint handling techniques are included, as is a method for dealing with failed iterations. Its efficiency is demonstrated on the constrained optimization of a pair of Helmholtz coils
Kriging, optimization methods
0018-9464
1094-1097
Hawe, G. I.
0979384f-3c4d-4ba0-aba7-c4203c26e591
Sykulski, J. K.
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
Hawe, G. I.
0979384f-3c4d-4ba0-aba7-c4203c26e591
Sykulski, J. K.
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb

Hawe, G. I. and Sykulski, J. K. (2008) A Scalarizing One-Stage Algorithm for Efficient Multi-Objective Optimization. IEEE Transactions on Magnetics, 44 (6), 1094-1097. (doi:10.1109/TMAG.2007.915977).

Record type: Article

Abstract

A novel kriging-assisted algorithm is proposed for computationally expensive multi-objective optimization problems, such as those which arise in electromagnetic design. The algorithm combines the multiple objectives into a single objective, which it then optimizes using a one-stage method from single-objective optimization. Inequality and equality constraint handling techniques are included, as is a method for dealing with failed iterations. Its efficiency is demonstrated on the constrained optimization of a pair of Helmholtz coils

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Published date: June 2008
Keywords: Kriging, optimization methods
Organisations: EEE

Identifiers

Local EPrints ID: 265841
URI: http://eprints.soton.ac.uk/id/eprint/265841
ISSN: 0018-9464
PURE UUID: c35ee917-70e4-463f-bd1c-d5bab661646e
ORCID for J. K. Sykulski: ORCID iD orcid.org/0000-0001-6392-126X

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Date deposited: 04 Jun 2008 12:52
Last modified: 20 Jul 2019 01:28

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