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基于Hadoop的改进遗传算法 被引量:3

Improved Genetic Algorithm Based on Hadoop
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摘要 利用Hadoop的并行式处理技术改进了遗传算法.通过将种群划分为多个子种群,并将每个子种群由一个单一的MapReduce任务来处理,实现了遗传算法的并行化.通过解决OneMax问题的一系列实验,验证了基于Hadoop的遗传算法提高了运行效率与正确性. The genetic algorithm was improved based on the parallel process technology of Hadoop. The parallel genetic algorithm is implemented through divided the population into several sub-populations and each sub-population was processed by a single MapReduce.It is tested that the genetic algorithm based on Hadoop improved the efficiency and the accuracy through solving the OneMax problem.
作者 包达尔罕
出处 《内蒙古师范大学学报(自然科学汉文版)》 CAS 北大核心 2015年第1期62-65,共4页 Journal of Inner Mongolia Normal University(Natural Science Edition)
基金 内蒙古自然科学基金资助项目(2013MS0910)
关键词 遗传算法 Hadoop MapReduce Hadoop MapReduce GA
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参考文献8

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二级参考文献7

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