Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Research Journal of Applied Sciences, Engineering and Technology


The Differential Evolution Method for Constraint Web Service Composition Based on Fuzzy Petri Net

1Xiangwei Liu, 1Li Yang, 2Xianwen Fang and 2Qianjin Zhao
1School of Management
2Department of Information and Computing Science, Anhui University of Science and Technology, Huainan, 232001, China
Research Journal of Applied Sciences, Engineering and Technology  2013  7:2433-2438
http://dx.doi.org/10.19026/rjaset.5.4676  |  © The Author(s) 2013
Received: July 26, 2012  |  Accepted: September 12, 2012  |  Published: March 11, 2013

Abstract

For independent global constraints Web services composition problem, it is difficult to analyze the optimal composition plan. The study presents an optimization method of Web service composition with constraint using Fuzzy Petri Net (FPN) and Differential Evolution (DE), which can transforms solving the optimal service composition problem into locating the largest trust value of legal firing sequences in the FPN model. Then we use the DE algorithm to locate the optimal legal sequences in order to obtain the optimal Web service composition. The experimental results show that the method is effective.

Keywords:

Constraint, differential evolution, fuzzy petri net, web service composition,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved