Genetic Algorithm-Based Multi-objective Optimisation for QoS-Aware Web Services Composition

被引：0
|
作者：
Li, Li [1 ]
Yang, Pengyi [2 ]
Ou, Ling [1 ]
Zhang, Zili [1 ]
Cheng, Peng [1 ]
机构：
[1] Southwest Univ, Chongqing 400715, Peoples R China
[2] Univ Sydney, Sch IT, Sydney, NSW 2006, Australia
来源：
KNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT | 2010年 / 6291卷
关键词：
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：
Finding an optimal solution for QoS-aware Web service composition with various restrictions on qualities is a multi-objective optimisation problem. A popular multi-objective genetic algorithm, NSGA-II, is studied in order to provide a set of optimal solutions for QoS-based service composition. Experiments with different numbers of abstract and concrete services confirm the expected behaviour of the algorithm.
引用
收藏
页码：549 / 554
页数：6
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