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-α 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.
Zhuang-Cheng Liu, Xiao-Feng Lin, Yan-Jun Shi and Hong-Fei Teng, 2011. A Micro Genetic Algorithm with Cauchy Mutation for Mechanical Optimization Design Problems. Information Technology Journal, 10: 1824-1829.
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