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lui0822_2009

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虫号: 4010880
注册: 2015-08-07
专业: 计算机应用技术

[求助] 能否帮我给我论文摘要润色！谢谢

We proposed a complex network community discovery method based on parallel immune genetic algorithm for the problem of low efficiency, slow convergence rate
and population degradation in community mining method based on genetic algorithm.
The algorithm is making use of the principle of parallel immune system to ensure
the diversity of population, and enhancing the searching ability by using a single
path crossover operator in the initial population and crossover operation, in the initial
population and crossover operation to enhance the ability to find the best use of the
single path crossover operator, while using the improved character encoding and adaptive
mutation operator to further reduce the search space, improve the population degradation
phenomenon.Experiments show that the improved parallel immune genetic algorithm is
used to find the problem of complex network community with high accuracy, and the
effectiveness and efficiency.

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