IEEE.org| IEEE Xplore Digital Library| IEEE Standards| IEEE Spectrum| More Sites

Cart (Loading....) | Create Account | 

Close category search window
Author Searchbeta |  Advanced Search  |  Preferences |  Search Tips  |  More Search Options  
 
Browse Conference Publications > Advanced Computer Theory and ... Help

Study on optimization selection model of Web service discovery based on genetic algorithm

Full Text Sign-In or Purchase

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing! close button
puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Xiao Jun ; Math. & Comput. Coll., Ningxia Univ., Yinchuan, China

Traditional Web services, which are mainly technical specifications based on UDDI, provide service discovery by simple classification and key word matching, resulting in low precision ratio and recall ratio as well as low compatibility of service multiplexing and service composition. This paper, basing on Web service models and in combination with genetic algorithm, brings forward a multi-target optimization selection model based on similarity, QoS, matching degree, rating and feasibility of Web services, and provides an effective method for Web service discovery.

Published in:
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on  (Volume:3 )

Date of Conference: 20-22 Aug. 2010

Page(s):
V3-114 - V3-119
ISSN :
2154-7491
Print ISBN:
978-1-4244-6539-2
INSPEC Accession Number:
11537263
Conference Location :
Chengdu
Digital Object Identifier :
10.1109/ICACTE.2010.5579698
Product Type:
Conference Publications

IEEE Account

Purchase Details

Profile Information

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.