Biobjective design optimization for axial compressors using tabu search

Timoleon Kipouros*, Daniel M. Jaeggi, William N. Dawes, Geoffrey T. Parks, A. Mark Savill, P. John Clarkson

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

63 Citations (Scopus)


At present, optimization is an enabling technology in innovation. Multi-objective and multidisciplinary optimization tools are essential in the design process for real-world applications. In turbomaehinery design, these approaches give insight into the design space and identify the tradeoffs between the competing performance measures. This paper describes the application of a novel multi-objective variant of the tabu search algorithm to the aerodynamic design optimization of turbomachinery blades. The aim is to improve the performance of a specific stage and eventually of the whole engine. The integrated system developed for this purpose is described. It combines the optimizer with an existing geometry parameterization scheme and a well-established computational fluid dynamics package. Its performance is illustrated through a case study in which the flow characteristics most important to the overall performance of turbomachinery blades are optimized.

Original languageEnglish
Pages (from-to)701-711
Number of pages11
JournalAIAA Journal
Issue number3
Publication statusPublished - Mar 2008
Externally publishedYes


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