Scalarizing cost-effective multiobjective optimization algorithms made possible with kriging
Scalarizing cost-effective multiobjective optimization algorithms made possible with kriging
The use of kriging in cost-effective single-objective optimization is well established, and a wide variety of different criteria now exist for selecting design vectors to evaluate in the search for the global minimum. Additionly, a large number of methods exist for transforming a multi-objective optimization problem to a single-objective problem. With these two facts in mind, this paper discusses the range of kriging assisted algorithms which are possible (and which remain to be explored) for cost-effective multi-objective optimization.
978-80-01-03784-3
232-233
Czech Technical University in Prague
Hawe, G.I.
649d9e56-696a-4aef-a882-832d5f94a094
Sykulski, J.K.
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
2007
Hawe, G.I.
649d9e56-696a-4aef-a882-832d5f94a094
Sykulski, J.K.
d6885caf-aaed-4d12-9ef3-46c4c3bbd7fb
Hawe, G.I. and Sykulski, J.K.
(2007)
Scalarizing cost-effective multiobjective optimization algorithms made possible with kriging.
In Proceedings of the 16th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF'2007.
Czech Technical University in Prague.
.
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Abstract
The use of kriging in cost-effective single-objective optimization is well established, and a wide variety of different criteria now exist for selecting design vectors to evaluate in the search for the global minimum. Additionly, a large number of methods exist for transforming a multi-objective optimization problem to a single-objective problem. With these two facts in mind, this paper discusses the range of kriging assisted algorithms which are possible (and which remain to be explored) for cost-effective multi-objective optimization.
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Published date: 2007
Organisations:
EEE
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Local EPrints ID: 264525
URI: http://eprints.soton.ac.uk/id/eprint/264525
ISBN: 978-80-01-03784-3
PURE UUID: be592677-b38a-4058-a6f4-347bfcfd97fe
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Date deposited: 19 Sep 2007
Last modified: 15 Mar 2024 02:34
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Author:
G.I. Hawe
Author:
J.K. Sykulski
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