摘要
针对人工免疫算法存在易早熟等缺点,将蚁群算法融合到算法中,改进了算子因子,并通过蚁群算法特有的信息素,转移概率等操作,提高了算法的性能,仿真实验中,将融合后的算法结合支持向量机对大数据条件下的汽车设备的故障进行预测,取得了比较好的效果。
Due to the shortcomings of artificial immune algorithm is easily premature,the ant colony algorithm is integrated into the algorithm to improve the operators and factors.In addition,the algorithm’s performance is improved through the specific pheromone of the ant colony algorithm and transition of probability.In simulation experiment,the integrated algorithm and the supportive vector machine are used to predict the failure of automobile equipment under the condition of big data and better effect is achieved.
作者
傅龙天
余玉梅
Fu Longtian;Yu Yumei(Fuzhou University of International Studies and Trade,Fuzhou350011,China;The Open University of Fujian,Fuzhou350008,China)
出处
《科技通报》
2019年第3期79-84,共6页
Bulletin of Science and Technology
基金
教育部协同育人项目(201702087003)
关键词
人工免疫
蚁群算法
算子因子
大数据
artificial immune
ant colony algorithm
operator factor
big data
