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| Analysis on factors influencing optimization of OPS algorithm |
| Received:March 30, 2013 Revised:June 04, 2013 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx201405002 |
| KeyWord:optimization-based smoothing objective function optimal solution solvers one-dimensional search |
| Author | Institution |
| 代翠 |
江苏大学 流体机械工程技术研究中心, 镇江 |
| 董亮 |
江苏大学 流体机械工程技术研究中心, 镇江 |
| 刘明明 |
江苏大学 流体机械工程技术研究中心, 镇江 |
| 白羽 |
江苏大学 流体机械工程技术研究中心, 镇江 |
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| Abstract: |
| The objective function and how to obtain its corresponding optimal solution are key factors that determine the optimization-based smoothing algorithm to be good or on the contrary.The factors that affect optimizing effect,such as objective function and method of solving optimal solution under the change of element number,initial point position,interaction number and desired accuracy,were compared.It is found that the objective functions (f1,f4) are smooth when the position of node is changed.With the increase of element number,the time during optimization increases for the four objective functions,while the worst element quality varies only slightly.And with the increment of the desired accuracy,the mesh quality and the time consumed increase.The iteration number has little effect on the mesh quality and time cost for different functions.The sixth method combined with variable metric method to solve descent direction of objective function and quadratic interpolation as one-dimensional searching method shows better advantage over time,optimizing effect,and convergence speed. |
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