Multi-variable geometry repair and optimization of passive vibration isolators
Multi-variable geometry repair and optimization of passive vibration isolators
A range of techniques are considered for the search of a high dimensional design landscape with extensive, unknown and disjointed regions of infeasibility. We present the use of a hybrid genetic-algorithm / gradient-descent search of the objective function / feasibility problem. The genetic algorithm is used to optimize the vibration isolation of a novel passive structure concept, while the gradient descent method is used to repair infeasible geometries. For a more complicated structure the gradient search fails to find feasible geometries and we resort to a non-dominated sorting multi-objective genetic algorithm which searches the vibration isolation and geometry feasibility simultaneously. Although the complicated geometry is more difficult to optimize, there is potential for significant improvements in vibration isolation.
Forrester, Alexander I.J.
176bf191-3fc2-46b4-80e0-9d9a0cd7a572
Keane, Andy J.
26d7fa33-5415-4910-89d8-fb3620413def
26 April 2007
Forrester, Alexander I.J.
176bf191-3fc2-46b4-80e0-9d9a0cd7a572
Keane, Andy J.
26d7fa33-5415-4910-89d8-fb3620413def
Forrester, Alexander I.J. and Keane, Andy J.
(2007)
Multi-variable geometry repair and optimization of passive vibration isolators.
3rd AIAA Multidisciplinary Design Optimization Specialist Conference, , Waikiki, United States.
23 - 26 Apr 2007.
10 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
A range of techniques are considered for the search of a high dimensional design landscape with extensive, unknown and disjointed regions of infeasibility. We present the use of a hybrid genetic-algorithm / gradient-descent search of the objective function / feasibility problem. The genetic algorithm is used to optimize the vibration isolation of a novel passive structure concept, while the gradient descent method is used to repair infeasible geometries. For a more complicated structure the gradient search fails to find feasible geometries and we resort to a non-dominated sorting multi-objective genetic algorithm which searches the vibration isolation and geometry feasibility simultaneously. Although the complicated geometry is more difficult to optimize, there is potential for significant improvements in vibration isolation.
Text
Forr_07.pdf
- Accepted Manuscript
More information
Published date: 26 April 2007
Additional Information:
AIAA 2007-1923. 48th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference
23 - 26 April 2007, Honolulu, Hawaii
Venue - Dates:
3rd AIAA Multidisciplinary Design Optimization Specialist Conference, , Waikiki, United States, 2007-04-23 - 2007-04-26
Identifiers
Local EPrints ID: 63926
URI: http://eprints.soton.ac.uk/id/eprint/63926
PURE UUID: dc8edf47-ba85-4f57-a3fe-ac9816c97cc4
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Date deposited: 19 Nov 2008
Last modified: 18 Mar 2024 02:43
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