文献类型：会议论文

英文题名：Solution to holes machining path planning by intelligence computation

作者：Zhang, Jing[1]

通讯作者：Zhang, J.

机构：[1] Basic Courses Department, Beijing Union University, Beijing, China

第一机构：北京联合大学基础教学部

会议论文集：Chemical, Mechanical and Materials Engineering II

会议日期：January 20, 2013 - January 21, 2013

会议地点：Melbourne, VIC, Australia

语种：英文

外文关键词：Competition - Genetic algorithms - Industrial electronics - Mathematical models - Motion planning - Particle swarm optimization (PSO)

摘要：The rapid development of electronic information industry has posed serious challenges to the electronics manufacturing technology and intense competition in the market. For the most basic parts of electronic components - holes of the printed circuit board processing efficiency issues need to be resolved, the machining tool path optimization techniques. Optimize holes machining path reducing tool movement time is an effective way to improve production efficiency. Machining path optimization problem is transformed into a traveling salesman problem, shortest processing path established path optimization mathematical model on the basis of the model, the analysis of a variety of typical optimization algorithm, simulated annealing algorithm, genetic algorithm, ant colony algorithm, particle swarm optimization, comparing the various algorithms, based on theoretical analysis and experimental research, for the complexity of the algorithm evaluation, flexibility, local optimum probability, feedback information utilization and weight. ? (2013) Trans Tech Publications, Switzerland.