Surrogate Assisted Evolutionary Algorithm for Multiobjective Optimization
Published • May 1, 2006
NobleIDNI1P58W86R06S94
Authors:,
Tapabrata Ray
Warren Smith
Abstract
Multidisciplinary design optimization (MDO) typically requires assessment of numerous designs, each of which involves computationally expensive analyses (computational fluid dynamics (CFD), finite element based methods (FEM), computational electromagnetics (CEM) etc.). Apart from using multiple proc...
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