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

Autor:	Wei-Qing Lin, Guang-Yu Zhu
Rok vydání:	2008
Předmět:	Engineering business.industry Head surface Crossover Surface mounting Robot Inversion (meteorology) business Exchange operator Algorithm Mount
Zdroj:	Intelligent Robotics and Applications ISBN: 9783540885160 ICIRA (2)
DOI:	10.1007/978-3-540-88518-4_107
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4eecd02ac33858d133ed22b531dc9b7a https://doi.org/10.1007/978-3-540-88518-4_107 Zobrazit plný text záznamu