QoS-aware service composition based on tree-coded genetic algorithm

被引:0
|
作者
Gao, Chunming [1 ,2 ]
Cai, Meiling [1 ]
Chen, Huowang [2 ]
机构
[1] Hunan Normal Univ, Coll Math & Comp Sci, Changsha 410081, Peoples R China
[2] Natl Univ Def Technol, Sch Comp Sci, Changsha 410073, Hunan, Peoples R China
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A novel Tree-coding Genetic Algorithms (TGA) is presented for QoS-aware service composition. Since Tree-coding schema can carry the information of static model of service workflow, this feature qualifies TGA to make the chromosomes to be encoded and decoded automatically, and keep the medial result for fitness computing. The Tree-coding can also support the services composition re-planning at runtime effectively. The experiment results show that TGA run faster than the one-dimensional coding GA when the optimal result is same, furthermore the algorithm with Tree-coding is effective for re-planning.
引用
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页码:361 / +
页数:2
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