Abstract
We propose a motion curve optimization method based on a genetic algorithm. A motion curve is a function of displacement of a drive part of a machine with respect to time. In a curve optimization using a standard genetic algorithm, an optimized curve is searched by repeatedly applying genetic operations to design variables that define the shape of motion curves. In contrast, the algorithm we proposed directly treats curves as solutions without design variables, and we also propose genetic operations for motion curves. These are methods that can generate a new curve by numerically synthesizing several curves; even more complex curves could be created by applying the operations repeatedly. The effectiveness of the proposed algorithm is demonstrated through optimization of a motion curve to decrease vibration at the surface of a liquid in bottles for a bottling machine.
