山东农业大学学报（自然科学版）2017，Vol.48Issue(3)：459-463,5.DOI:10.3969/j.issn.1000-2324.2017.03.027
水产品线上交易匹配模型及算法研究
Study on Online Trading Matching Model and Algorithm for Aquatic Products
摘要
Abstract
In recent years, with the continuous development of e-commerce and the internet, how to combine the traditional offline commodity trading with the modern internet business model becomes a focus. Aquatic products have so large sale volume and perishability that the timeliness of the production and sales become more prominent and the combination with e-commerce online transaction can greatly improve the efficiency of sales. This paper studied the problem of matching optimization of aquatic product trading in the context of online trade. First of all, a new trading matching degree and its calculation method were defined so as to construct the aquatic product transaction matching model to maximize the weighted matching between the two sides. Then the bird foraging algorithm was used to solve the model. Finally, an example was given to verify the feasibility of the proposed algorithm, and the effectiveness of the proposed algorithm was verified by comparison with the traditional genetic algorithm.关键词
水产品/线上交易/匹配/算法Key words
Aquatic product/online trade/matching/algorithm分类
管理科学引用本文复制引用
周超,陈明,王文娟..水产品线上交易匹配模型及算法研究[J].山东农业大学学报（自然科学版）,2017,48(3):459-463,5.基金项目
国家科技支撑计划资助项目:鲜活水产品物流过程品质维持与质量安全控制技术集成应用与示范(2013BAD19B06) （2013BAD19B06）
