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【答案】应助回帖
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lui0822_2009(fjtony163代发): 金币+20, 代发 2016-05-15 09:45:33
fjtony163: 翻译EPI+1, 代发 2016-05-15 09:45:39
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To solve the problems of low efficiency, slow convergence rate and population degradation in genetic algorithm-based community mining method, a complex network community discovery method based on parallel immune genetic algorithm was proposed. The algorithm ensures the diversity of population using the principle of parallel immune system, thus enhancing the ability to find the best use of the single path crossover operator in the initial population and crossover operation; furthermore, it reduces the search space using the improved character encoding and adaptive mutation operator, improving the population degradation phenomenon. Experiments show that the improved parallel immune genetic algorithm can be used to find the problems of complex network community with high accuracy, effectiveness and efficiency. |
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