Comparison of Evolutionary (Genetic) Algorithm and Adjoint Methods for Multi-Objective Viscous Airfoil Optimizations

By T. Pulliam, M. Nemec, T. Holst, David W. Zingg, D. Kwak. 2003

53 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computational Theory and Mathematics, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/f2dd3d629aa4a1666efd7215e26a04c2e2eaa22f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Jason E. Hicken
2. David W. Zingg

In Computational Theory and Mathematics

1. David W. Zingg
2. Jason E. Hicken
3. Hugo Gagnon
4. Xiaocong Han
5. O. Chernukhin

In Mechanical Engineering

1. David W. Zingg

Citations in the corpus

• Parallel Newton-Krylov Solver for the Euler Equations Discretized Using Simultaneous-Approximation Terms (2008, methodology): “For serial computations, Newton–Krylov solution strategies have proven to be efficient, both in flow simulation [5,13– 18] and optimization [4,19].”