An evolutionary approach to Wall Sheer Stress prediction in a grafted artery

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@Article{Azad:2004:ASC,

• author = "R. Muhammad Atif Azad and Ali R. Ansari and Conor Ryan and Michael Walsh and Tim McGloughlin",
• title = "An evolutionary approach to Wall Sheer Stress prediction in a grafted artery",
• journal = "Applied Soft Computing",
• publisher = "Elsevier",
• year = "2004",
• volume = "4",
• number = "2",
• pages = "139--148",
• month = may,
• keywords = "genetic algorithms, genetic programming, grammatical evolution, chorus system, Wall Shear Stress, Laser Doppler anemometry, Mathematical modeling, Computational Fluid Dynamics",
• ISSN = "1568-4946",
• DOI = "doi:10.1016/j.asoc.2003.11.001",
• abstract = "Restoring the blood supply to a diseased artery is achieved by using a vascular bypass graft. The surgical procedure is a well documented and successful technique. The most commonly cited hemodynamic factor implicated in the disease initiation and proliferation processes at graft/artery junctions is Wall Shear Stress (WSS). WSS distributions are predicted using numerical simulations as they can provide quick and precise results to assess the effects that alternative graft/artery junction geometries have on the WSS distributions in bypass grafts. Validation of the numerical model is required and in vitro studies, using laser Doppler anemometry (LDA), have been employed to achieve this. Numerically, the Wall Shear Stress is predicted using velocity values stored in the computational cell near the wall and assuming zero velocity at the wall. Experimentally obtained velocities require a mathematical model to describe their behavior. This study employs a grammar based evolutionary algorithm termed Chorus for this purpose and demonstrates that Chorus successfully attains this objective. It is shown that even with the lack of domain knowledge, the results produced by this automated system are comparable to the results in the literature.",
• notes = "http://www.elsevier.com/wps/find/journaldescription.cws_home/621920/description#description",

}

Genetic Programming entries for R Muhammad Atif Azad Ali Raza Ansari Conor Ryan Michael Walsh Tim McGloughlin

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