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论文类型：期刊论文

第一作者：Liu Z.-C.

通讯作者：Liu, Z.-C.; School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China

合写作者：Lin X.-F.,Shi Y.-J.,Teng H.-F.

发表时间：2011-01-01

发表刊物：Information Technology Journal

收录刊物：EI、Scopus

卷号：10

期号：9

页面范围：1824-1829

ISSN号：18125638

摘要：This study develops a Micro Genetic Algorithm with Cauchy mutation(MGAC) for the mechanical optimization design problems. The mechanical optimization design problems are very important optimization problems in engineering, with the characteristics of multi-variables, complex objectives and non-linear constraints. In this algorithm, the MGAC firstly employed the blend crossover operator called BLX-a to increase the global searching ability of traditional Micro Genetic Algorithm; then, the MGAC selected the Cauchy mutation operator for keeping individual diversity and solving the premature convergence. In addition, the population pool was used to reduce the blindness of the individual regeneration in the re-initialization stage. The parameter optimization design of the planetary gears transmission showed the effectiveness of the MGAC algorithm. ? 2011 Asian Network for Scientific Information.