A Discrete Hybrid Bees Algorithm for Service Aggregation Optimal Selection in Cloud Manufacturing

被引：0
|
作者：
Tian, Sisi [1 ]
Liu, Quan [1 ]
Xu, Wenjun [1 ]
Yan, Junwei [1 ]
机构：
[1] Minist Educ, Key Lab Fiber Opt Sensing Technol & Informat Proc, Wuhan 430070, Peoples R China
来源：
INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2013 | 2013年 / 8206卷
关键词：
Cloud manufacturing; service aggregation; Bees Algorithm; Pareto optimal;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Facing to the globalization and increasing competition of manufacturing enterprise, how to integrate the existent manufacturing services in cloud manufacturing model to form the newly value-added services in order to fulfill the user requirements has become a significant issue in manufacturing area. In this context, a discrete hybrid Bees Algorithm (DHBA) is proposed to solve service optimal the selection in resource service aggregation. The problem of service aggregation with QoS global optimal is transformed into a multi-objective services aggregation optimization with QoS constraints, and DHBA is utilized to produce a near-optimal solution. A case study together with a set of simulation experiment is presented and the results demonstrate the effectiveness and feasibility of the proposed method.
引用
收藏
页码：110 / 117
页数：8
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