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工业互联网环境下基于协作度的制造服务组合推荐方法6OA北大核心CSTPCD

Manufacturing service composition recommendation method based on collaboration under industrial internet environment

中文摘要英文摘要

在工业互联网环境下,一个制造任务通常由多个制造服务组成,每个服务的完成都不是独立的,它们之间协作的有效性是服务组合成功执行的关键因素之一.首先根据工业互联网中服务历史调用次数定义了协作度;然后基于协作度改进了服务成本和时间的衡量方法;最后提出了基于协作度的制造服务组合推荐方法,利用非支配遗传算法(Non-dominated Sorting Genetic Algorithm Ⅱ,NSGA-Ⅱ)为用户推荐服务质量优化的制造服务组合方案.通过与3种常用启发式算法的对比实验,验证了该算法的实用性和有效性.

Under industrial internet environment,a manufacturing task usually consists of multiple manufacturing services,each of which is not completed independently,and the effectiveness of their collaboration is one of the key factors for success of the service composition.Firstly,based on the number of historical service invocations in the industrial internet platform,the collabo-ration is defined;secondly,the service cost and time measures are improved based on the collaboration;finally,manufacturing service composition recommendation method based on collaboration is proposed and the Non-dominated Sorting Genetic AlgorithmⅡ(NSGA-Ⅱ)is used to recommend the manufacturing service composition scheme with service quality optimization for users.The practicality and effectiveness of this algorithm are verified by comparison with three heuristic algorithms.

袁东维;凤飞龙

西北政法大学管理学院,西安 710122陕西师范大学物理学与信息技术学院,西安 710119

计算机与自动化

工业互联网制造服务非支配遗传算法服务推荐

industrial internetmanufacturing serviceNon-dominated Sorting Genetic Algorithm Ⅱ(NSGA-Ⅱ)service recom-mendation

《现代制造工程》 2024 (006)

69-74 / 6

国家自然科学基金项目(11774212);陕西自然科学基金项目(2022JM-403);西北政法大学军民融合研究院项目(JM-202111)

10.16731/j.cnki.1671-3133.2024.06.009

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