A Genetic Optimization Approach to Optimize the Multi-head Surface Mount Placement Machine

作者:Lin Wei Qing*; Zhu Guang Yu
来源:1st International Conference Intelligent Robotics and Applications, 2008-10-15 to 2008-10-17.

摘要

The genetic algorithm (GA) for multi-head Surface mounting machines is studied, and it has two contributions to the multi-head case, one is that the algorithm has a special crossover operation; the other is that its mutation operation is composed of exchange operator and inversion operator. Experimental results show that the proposed approach gives good robot assembly time and less movement of the feeder carrier and PCB table.