Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

Many-Objective Evolutionary Algorithms in the Composition of Web Services

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.

The purchase and pricing options are temporarily unavailable. Please try again later.
4 Author(s)
de Campos, A. ; Dept. de Inf., Univ. Fed. do Parana (UFPR), Curitiba, Brazil ; Pozo, A.T.R. ; Vergilio, S.R. ; Savegnago, T.

The composition of Web services is an interesting option for the creation of complex applications with a wide range of features. The inherent scalability of the Internet leads to a potentially large number of services that meet a particular feature. Moreover, these services are associated with different quality indicators, sometimes conflicting. Hence, it is evident the plurality of solutions for the same problem. Considering this fact, in this work, the composition of Web services is treated as a many objective optimization problem, and multiobjective evolutionary algorithms are used to solve it. An empirical evaluation is done and the results of different preference relation techniques are compared in different composite Web services scenarios. The results show the importance of applying many-objectives techniques to problems with more than three objectives.

Published in:

Neural Networks (SBRN), 2010 Eleventh Brazilian Symposium on

Date of Conference:

23-28 Oct. 2010