文章基本信息

标题：Online Order Priority Evaluation Based on Hybrid Harmony Search Algorithm of Optimized Support Vector Machines
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作者：Zhao, Yuanyuan ; Chen, Qian
期刊名称：Journal of Networks
印刷版ISSN：1796-2056
出版年度：2014
卷号：9
期号：4
页码：972-978
DOI：10.4304/jnw.9.4.972-978
语种：English
出版社：Academy Publisher
摘要：To make production plan, online order priority evaluation is the current priority weakness of online order evaluation model. This thesis proposes an online order priority evaluation model based on hybrid harmony search algorithm of optimized support vector machine (HHS-SVM). Firstly, an online order priority evaluation index system is build, and then support vector machine is adopted to build an online order priority evaluation model; secondly, harmony search algorithm is used to optimize the parameters of support vector machine; what’s more, in the parameter optimization process the foraging behavior of AFSA is introduced to improve the ability and convergence speed of algorithm escaping from the local optimal solution; finally, simulation test is used to test the performance of the model. The simulation results show that HHS-SVM improves the accuracy of the online order priority evaluation relative to the comparison model. What’s more, the online order priority evaluation model is feasible and effective
关键词：Online Order Priority;Supply Chain;Support Vector Machine;Harmony Search Algorithm