Motion curve optimization algorithm using genetic operations and its application to bottling machine

We propose a motion curve optimization algorithm 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 can effectively optimize a curve by directly applying genetic operations to curves without design variables. Eventually, the algorithm is applied to an optimization of a motion curve to decrease vibration at the surface of the liquid in a bottle using an actual bottling machine.