A COMPUTATIONAL TECHNIQUE FOR ROBUST OPTIMIZATION OF CARDIOVASCULAR BYPASS GRAFT SURGERIES

摘要

We have presented a robust optimization framework that uses repeated calls to finite element simulator to compute best feasible solutions. A complex four-stochastic dimensional bypass graft design problem was solved within reasonable computational time. It was demonstrated that including uncertainty in the optimization framework resulted in different designs compared to standard optimization.