In this paper, we present a scalable parallel framework, which employs grid computing technologies, for solving computationally expensive and intractable design problems. Using an aerodynamic airfoil design optimization problem as an example the application of the grid computing strategies is discussed. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Ng, H. K., Ong, Y. S., Hung, T., & Lee, B. S. (2005). Grid enabled optimization. In Lecture Notes in Computer Science (Vol. 3470, pp. 296–304). Springer Verlag. https://doi.org/10.1007/11508380_31
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