Genetic algorithm based tomographic flow visualization /
A new nonlinear tomographic flow visualization technique for
| Main Author: | |
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| Format: | Thesis eBook |
| Language: | English |
| Published: |
[Place of publication not identified] :
[publisher not identified] ;
1997.
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| Subjects: | |
| Online Access: | Link to OAKTrust copy |
| Summary: | A new nonlinear tomographic flow visualization technique for algorithm, investigations are conducted to determine the appropriate degree of hybridization for use in flow cases as well as provide a direct reconstruction method for common reconstruction algorithms for use in limited data data generated from nonlinear projection mechanisms. fields are tested for a limited number of projections under from the emerging field of evolutionary computing. The new interferometric visualization. For the hybrid genetic technique uses both pure and hybrid genetic algorithms from technique, both axisymmetric and asymmetric phantom density the field of evolutionary computing. For verification of the use in limited data situations is developed using techniques visualization. This new method can provide an alternative to |
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| Item Description: | "Major subject: Mechanical Engineering". Vita. |
| Physical Description: | vii, 55 leaves : illustrations ; 28 cm. Also available online. Issued also on microfiche from Lange Micrographics. |
| Bibliography: | Includes bibliographical references. |