Multi-objective Optimisation of Turbomachinery Blades Using Tabu Search
Date published
2005-01-01T00:00:00Z
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Volume Title
Publisher
Springer-verlag
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Article
ISSN
0302-9743
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Citation
Timoleon Kipouros, Daniel Jaeggi, Bill Dawes, Geoff Parks, Mark Savill, Multi-
objective Optimisation of Turbomachinery Blades Using Tabu Search, Lecture Notes
in Computer Science, Volume 3410, Jan 2005, Pages 897 - 910
Abstract
This paper describes the application of a new multi-objective integrated turbomachinery blade design optimisation system. The system combines an existing geometry parameterisation scheme, a well-established CFD package and a novel multi-objective variant of the Tabu Search optimisation algorithm. Two case studies, in which the flow characteristics most important to the overall performance of turbomachinery blades are optimised, are investigated. Results are presented and compared with a previous (single-objective) investigation of the problem.