Application of the Interval Genetic Algorithm Technique for the Interval Optimization of a Disk Type Piezoelectric Motor

作者：Shiau Ting Nung^*; Kang Chung Hao; Liu De Shin

来源：Journal of the Chinese Society of Mechanical Engineers, 2008, 29(6): 435-443.

• interval optimization
• interval genetic algorithm
• piezoelectric motor
• multi-objectives
• single-objective
• constrained interval

Most of the optimization algorithms in engineering deal with methods, which derive the exact optimal parameters for an optimal design. Actually, exact design parameters are not easy to be manufactured because of manufacturing errors and an expensive manufacturing cost. To overcome this difficulty, a new kind of interval optimization procedure is proposed in this paper. This procedure is denominated as the Interval Genetic Algorithm (IGA), which can determine the interval parameters with an allowable objective error. It can not only neglect the interval analysis in the optimization process but also can maximize the design scope. In this paper, the IGA is applied to the interval optimization of a disk type piezoelectric motor. The results show that the scopes of the single and multi objective interval optimizations can be determined separately. Furthermore, the interval optimization with constrained interval design parameters can also be determined by using the technique of the IGA.

• 出版日期2008-12