关键词: 订单优先权, 供应链, 支持向量机, 和声搜索算法, 人工鱼群算法

Abstract: Evaluation model of order priority is a key problem in production plan. This paper proposes an evaluation model of order priority based on Hybrid Harmony Search algorithm and Support Vector Machine to solve the defect of the traditional evaluation model of order priority. The evaluation index system of order priority is established, and then support vector machine is used to establish evaluation model of order priority while the harmony search algorithm is used to optimize the parameters of support vector machine. During the search, the artificial fish-swarm prey behavior is introduced into the HS algorithm so as to enhance the ability of escaping from local optimal solution and accelerate the converge speed of the algorithm. The performance of model is tested by the simulation experiments. The results show that, compared with other models, the proposed model has improved the evaluation precision of order priority, and it is a feasible, effective evaluation model for order priority.

Key words: order priority, supply chain, support vector machine, harmony search algorithm, artificial fish-swarm algorithm