| Summary: | 碩士 === 國立中興大學 === 機械工程學系所 === 100 === In this paper, minimum zone evaluation of torus using minimum potential energy algorithms. Minimum zone error based on looking for minimum potential energy of the system. The virtual system consists of two coaxial, same center,and same distance form the center of the tube to the center of the torus. All data points are enclosed within two fictitious torus surface. When the system spring to promote the approximation of two torus surfaces in the process of contraction. Therefore, the virtual system towards the direction of minimum elastic potential energy. Finally, the system reaches stable state with minimum potential energy. Normal deviation between such two torus surfaces becomes minimum zone error.
This paper presented an adjustment form error strategy based on minimum potential energy algorithms. For solving the problem of high dimensions and large number of data points, experimental results will be obtained in a shorter computing time. The control experiment results evaluated by different method such as particle swarm optimization and differential evolution, indicate that effectiveness of proposed method.
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