Extending Horsetail Matching for Optimization Under Probabilistic, Interval, and Mixed Uncertainties
This paper presents a new approach for optimization under uncertainty in the presence of probabilistic, interval, and mixed uncertainties, avoiding the need to specify probability distributions on uncertain parameters when such information is not readily available. Existing approaches for optimizati...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
American Institute of Aeronautics and Astronautics (AIAA),
2018-06-26T17:00:22Z.
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| Subjects: | |
| Online Access: | Get fulltext |