Over het archief
Het OWA, het open archief van het Waterbouwkundig Laboratorium heeft tot doel alle vrij toegankelijke onderzoeksresultaten van dit instituut in digitale vorm aan te bieden. Op die manier wil het de zichtbaarheid, verspreiding en gebruik van deze onderzoeksresultaten, alsook de wetenschappelijke communicatie maximaal bevorderen.
Dit archief wordt uitgebouwd en beheerd volgens de principes van de Open Access Movement, en het daaruit ontstane Open Archives Initiative.
Basisinformatie over ‘Open Access to scholarly information'.
Geoacoustic inversion and uncertainty analysis with MAX-MIN Ant system
van Leijen, A.V.; Hermand, J.-P. (2006). Geoacoustic inversion and uncertainty analysis with MAX-MIN Ant system, in: Dorigo, M. et al. Ant colony optimization and swarm intelligence - 5th International workshop, ANTS 2006, Brussels, Belgium, September 4-7, 2006, proceedings. pp. 420-427. https://dx.doi.org/10.1007/11839088_41
In: Dorigo, M. et al. (2006). Ant colony optimization and swarm intelligence - 5th International workshop, ANTS 2006, Brussels, Belgium, September 4-7, 2006, proceedings. Springer Berlin: Heidelberg. ISBN 978-3-540-38482-3. 526 pp., meer
|
| Auteurs | | Top |
- van Leijen, A.V.
- Hermand, J.-P., meer
|
|
|
| Abstract |
Inverse problems in ocean acoustics are generally solved by means of matched field processing in combination with metaheuristic global search algorithms. Solutions that describe acoustical properties of the bed and subbottom in a shallow water environment are typically approximations that require uncertainty analysis. This work compares Ant Colony Optimization with other metaheuristics for geoacoustic inversion, particularly Genetic Algorithms. It is demonstrated that a MAX-MIN Ant System can find good estimates and provide uncertainty analysis. In addition, the algorithm can easily be tuned, but proper tuning does not guarantee that every run will converge given a limited processing time. Another concern is that a single optimization run may find a solution while there is no clear indication on the accuracy. Both issues can be solved when probability distributions are based on parallel MAX-MIN Ant System runs. |
IMIS is ontwikkeld en wordt gehost door het VLIZ.
