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

被引：0
|
作者：
Chen, Rongping [1 ]
Cai, Meiling [1 ]
Quan, Huiyun [1 ]
机构：
[1] Hunan Business Coll, Dept Informat, Changsha 410205, Peoples R China
来源：
PROGRESS IN INTELLIGENCE COMPUTATION AND APPLICATIONS, PROCEEDINGS | 2007年
关键词：
Web Services Composition; Quality of Service; genetic algorithms; Tree-coding; replanning;
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：
A novel genetic algorithm(TGA) is presented for QoS-aware service selection for both pre-runtime and runtime. Tree-coding schema carries the messages of static model of service workflow, which qualifies TGA to encode and decode chromosomes automatically, and keeps the medial results for fitness computing. Tree-coding can also support the services composition now re-planning at runtime effectively. The experiment results show that TGA run faster than one-dimensional Genetic Algorithms when the optimal result is the same, furthermore the algorithm with Tree-coding is effective for re-planning.
引用
收藏
页码：622 / 627
页数：6
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