### Abstract

This paper describes a parallel genetic algorithm for optimal synthesis of the internal mechanism for a morphing aerofoil. Treating the number of precision points as a design parameter leads to an optimisation problem with a variable number of design parameters and hence variable-length chromosomes in its corresponding genetic algorithm. The objective of the optimisation is to minimise the weight of the mechanism subject to a constraint on the permissible deviation of the morphed aerofoil from its target shape. Decomposition of the optimisation algorithm into two parallel algorithms is realised by dividing the original problem into two problems. In the first optimisation process, using an approximated objective function, sub-optimised solutions are produced. These solutions then are passed into the second optimisation process with the original objective function. The proposed genetic algorithm has been compared with a conventional genetic algorithm with respect to its computational efficiency, showing a significant improvement in computational time.

Original language | English |
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Title of host publication | Proceedings of the First International Conference on Parallel, Distributed and Grid Computing for Engineering |

Editors | BHV Topping, P Ivanyi |

Publisher | CIVIL COMP PRESS |

Pages | 124-136 |

Number of pages | 13 |

ISBN (Print) | 978-1-905088-29-4 |

Publication status | Published - 2009 |

Event | 1st International Conference on Parallel, Distributed and Grid Computing for Engineering - Pecs, Hungary Duration: 6 Apr 2009 → 8 Apr 2009 |

### Publication series

Name | Civil Comp Proceedings |
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Publisher | CIVIL COMP PRESS |

ISSN (Print) | 1759-3433 |

### Conference

Conference | 1st International Conference on Parallel, Distributed and Grid Computing for Engineering |
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Country | Hungary |

City | Pecs |

Period | 6/04/09 → 8/04/09 |

### Keywords

- genetic algorithm
- parallel computing
- mechanism synthesis
- morphing aerofoil
- hyper-dimensional optimisation

### Cite this

*Proceedings of the First International Conference on Parallel, Distributed and Grid Computing for Engineering*(pp. 124-136). (Civil Comp Proceedings). CIVIL COMP PRESS.

**A Parallel Genetic Algorithm for Optimal Synthesis of a Morphing Aerofoil.** / Maheri, Alireza; Isikveren, A. T.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*Proceedings of the First International Conference on Parallel, Distributed and Grid Computing for Engineering.*Civil Comp Proceedings, CIVIL COMP PRESS, pp. 124-136, 1st International Conference on Parallel, Distributed and Grid Computing for Engineering, Pecs, Hungary, 6/04/09.

}

TY - GEN

T1 - A Parallel Genetic Algorithm for Optimal Synthesis of a Morphing Aerofoil

AU - Maheri, Alireza

AU - Isikveren, A. T.

PY - 2009

Y1 - 2009

N2 - This paper describes a parallel genetic algorithm for optimal synthesis of the internal mechanism for a morphing aerofoil. Treating the number of precision points as a design parameter leads to an optimisation problem with a variable number of design parameters and hence variable-length chromosomes in its corresponding genetic algorithm. The objective of the optimisation is to minimise the weight of the mechanism subject to a constraint on the permissible deviation of the morphed aerofoil from its target shape. Decomposition of the optimisation algorithm into two parallel algorithms is realised by dividing the original problem into two problems. In the first optimisation process, using an approximated objective function, sub-optimised solutions are produced. These solutions then are passed into the second optimisation process with the original objective function. The proposed genetic algorithm has been compared with a conventional genetic algorithm with respect to its computational efficiency, showing a significant improvement in computational time.

AB - This paper describes a parallel genetic algorithm for optimal synthesis of the internal mechanism for a morphing aerofoil. Treating the number of precision points as a design parameter leads to an optimisation problem with a variable number of design parameters and hence variable-length chromosomes in its corresponding genetic algorithm. The objective of the optimisation is to minimise the weight of the mechanism subject to a constraint on the permissible deviation of the morphed aerofoil from its target shape. Decomposition of the optimisation algorithm into two parallel algorithms is realised by dividing the original problem into two problems. In the first optimisation process, using an approximated objective function, sub-optimised solutions are produced. These solutions then are passed into the second optimisation process with the original objective function. The proposed genetic algorithm has been compared with a conventional genetic algorithm with respect to its computational efficiency, showing a significant improvement in computational time.

KW - genetic algorithm

KW - parallel computing

KW - mechanism synthesis

KW - morphing aerofoil

KW - hyper-dimensional optimisation

M3 - Conference contribution

SN - 978-1-905088-29-4

T3 - Civil Comp Proceedings

SP - 124

EP - 136

BT - Proceedings of the First International Conference on Parallel, Distributed and Grid Computing for Engineering

A2 - Topping, BHV

A2 - Ivanyi, P

PB - CIVIL COMP PRESS

ER -