Kumar, Sashi GN and Mahendra, AK and Rao, Raghurama SV (2006) Aerodynamic Shape Optimization using Ant Colony Optimization coupled with Computational Fluid Dynamics solver. In: International Conference on Computational Fluid Dynamics (ICCFD4), 10-14 July, Ghent,Belgium, pp. 1-6.
Aerodynamic shape design by optimizing the objective functions evaluated by modern computational fluid dynamics solvers (searching for the global optimal design) is a non trivial task. The traditional deterministic approach of gradient based methods may reach the global optimum if the objective function and the constraints are differentiable and convex. When we tackle real world problems, it is almost impossible to prove the differentiability and convexity of the objective function and the constraints. Other alternative is to use a heuristic algorithm, such as Ant Colony optimization (AGO). The AGO, a metaheuristic algorithm introduced by Dorigo (1992) [DG92], and has been proved to be a powerful tool in various fields of optimization (such as TSP, QAP and VRP). In this paper we study the feasibility of applying AGO to shape optimization coupled with CFD codes. An optimization procedure was evolved. Two validation test cases have been successfully demonstrated.
|Item Type:||Conference Paper|
|Department/Centre:||Division of Mechanical Sciences > Aerospace Engineering (Formerly, Aeronautical Engineering)|
|Date Deposited:||27 Sep 2006|
|Last Modified:||19 Sep 2010 04:32|
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