2014
DOI: 10.1007/978-3-319-03107-1_6
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Identification of Abdominal Aorta Aneurysm Using Ant Colony Optimization Algorithm

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“…Ultimately the proposed work could replace the highly resource-intensive manual geometric reconstruction and finite element analyses, with a fully automated predictive system. An advanced technique for diagnosis of AAA, has already demonstrated the ability to autonomously analyze computational fluid dynamic data and calculate wall shear stresses [22]. The algorithm is based on data mining methods and more specifically on the Ant Colony optimization algorithm (ACO); which is an evolutionary algorithm and probabilistic technique for computations, inspired by the motion of ants in fields in nature [23].…”
Section: Furthermore Interesting Approaches Have Been Implementedmentioning
confidence: 99%
“…Ultimately the proposed work could replace the highly resource-intensive manual geometric reconstruction and finite element analyses, with a fully automated predictive system. An advanced technique for diagnosis of AAA, has already demonstrated the ability to autonomously analyze computational fluid dynamic data and calculate wall shear stresses [22]. The algorithm is based on data mining methods and more specifically on the Ant Colony optimization algorithm (ACO); which is an evolutionary algorithm and probabilistic technique for computations, inspired by the motion of ants in fields in nature [23].…”
Section: Furthermore Interesting Approaches Have Been Implementedmentioning
confidence: 99%