Release Time:2019-03-11  Hits:

Indexed by: Journal Article

Date of Publication: 2011-01-01

Journal: Information Technology Journal

Included Journals: Scopus、EI

Volume: 10

Issue: 9

Page Number: 1824-1829

ISSN: 18125638

Abstract: 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.