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Optimal placement of tuning masses on truss structures by genetic algorithmsOptimal placement of tuning masses, actuators and other peripherals on large space structures is a combinatorial optimization problem. This paper surveys several techniques for solving this problem. The genetic algorithm approach to the solution of the placement problem is described in detail. An example of minimizing the difference between the two lowest frequencies of a laboratory truss by adding tuning masses is used for demonstrating some of the advantages of genetic algorithms. The relative efficiencies of different codings are compared using the results of a large number of optimization runs.
Document ID
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Ponslet, Eric
(NASA Langley Research Center Hampton, VA, United States)
Haftka, Raphael T.
(NASA Langley Research Center Hampton, VA, United States)
Cudney, Harley H.
(Virginia Polytechnic Inst. and State Univ. Blacksburg, United States)
Date Acquired
August 16, 2013
Publication Date
January 1, 1993
Publication Information
Publication: In: AIAA(ASME)ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 34th and AIAA/ASME Adaptive Structures Forum, La Jolla, CA, Apr. 19-22, 1993, Technical Papers. Pt. 4 (A93-33876 1
Publisher: American Institute of Aeronautics and Astronautics
Subject Category
Spacecraft Design, Testing And Performance
Report/Patent Number
AIAA PAPER 93-1586
Accession Number
Funding Number(s)
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