Multi-objective optimisation of turbomachinery blades using Tabu Search

Date published

2005-01-01T00:00:00Z

Free to read from

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Springer

Department

Type

Article

ISSN

0302-9743

Format

Citation

Kipouros T, Jaeggi D, Dawes B, et al., (2005) Multi-objective optimisation of turbomachinery blades using Tabu Search. Evolutionary Multi-Criterion Optimization (EMO 2005). Third International Conference, 9-11 March 2005, Guanajuato, Mexico. Lecture Notes in Computer Science, Volume 3410, January 2005, pp. 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.

Description

Software Description

Software Language

Github

Keywords

DOI

Rights

Relationships

Relationships

Resources

Funder/s