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Localized probability of improvement for Kriging based multi-objective optimization

Localized probability of improvement for Kriging based multi-objective optimization
Localized probability of improvement for Kriging based multi-objective optimization
The paper introduces a new approach to kriging based multi-objective optimization by utilizing a local probability of improvement as the infill sampling criterion and the nearest neighbor check to ensure diversification and uniform distribution of pareto fronts. The proposed method is computationally fast and linearly scalable to higher dimensions.
Kriging, Multi-Objective Optimization, Pareto front, Surrogate-based optimization
Li, Yinjiang
035e8693-c6e6-4a91-8e10-9232fd0c3112
Xiao, Song
6ffa9657-513e-4b86-86a2-e560d3c09c72
Rotaru, Mihai
c53c5038-2fed-4ace-8fad-9f95d4c95b7e
Sykulski, Jan
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
Li, Yinjiang
035e8693-c6e6-4a91-8e10-9232fd0c3112
Xiao, Song
6ffa9657-513e-4b86-86a2-e560d3c09c72
Rotaru, Mihai
c53c5038-2fed-4ace-8fad-9f95d4c95b7e
Sykulski, Jan
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb

Li, Yinjiang, Xiao, Song, Rotaru, Mihai and Sykulski, Jan (2017) Localized probability of improvement for Kriging based multi-objective optimization. 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering, Lodz, Poland. 14 - 16 Sep 2017. 2 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

The paper introduces a new approach to kriging based multi-objective optimization by utilizing a local probability of improvement as the infill sampling criterion and the nearest neighbor check to ensure diversification and uniform distribution of pareto fronts. The proposed method is computationally fast and linearly scalable to higher dimensions.

Text
ISEF_2017_digest_final - Accepted Manuscript
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More information

Accepted/In Press date: 16 May 2017
Published date: 14 September 2017
Venue - Dates: 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering, Lodz, Poland, 2017-09-14 - 2017-09-16
Keywords: Kriging, Multi-Objective Optimization, Pareto front, Surrogate-based optimization

Identifiers

Local EPrints ID: 414719
URI: http://eprints.soton.ac.uk/id/eprint/414719
PURE UUID: 771f44c4-455e-4d52-abd0-3a0549841222
ORCID for Jan Sykulski: ORCID iD orcid.org/0000-0001-6392-126X

Catalogue record

Date deposited: 09 Oct 2017 16:30
Last modified: 01 Oct 2019 01:05

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Contributors

Author: Yinjiang Li
Author: Song Xiao
Author: Mihai Rotaru
Author: Jan Sykulski ORCID iD

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