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

Authors:
Wei-Qing Lin;Guang-Yu Zhu
Affiliations:
College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, P.R. China;College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, P.R. China
Venue:
ICIRA '08 Proceedings of the First International Conference on Intelligent Robotics and Applications: Part II
Year:
2008

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Abstract

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.