Optimization Solver
Airfoil Shape Optimization Using Surrogate model & QIO
Achieved high-accuracy drag prediction with R² = 0.996 and improved design convergence|| Faster exploration • Reduced evaluation cost • Stable optimization
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BQPhy’s Optimization solver powered by QIEO algorithms achieves 6% more weight reduction compared to classical methods


Converges to solution in fewer iterations (upto 90% fewer iterations compared to Genetic Algorithms) resulting in compute costs and time savings
More weight reduction



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