Semantic Web Services Composition Optimized by Multi-objective Evolutionary Algorithms

Author

Batouche, Brahim ; Naudet, Yannick ; Guinand, Frédéric

Author_Institution

Public Res. Center Henri Fudor, Luxembourg

fYear

2010

fDate

9-15 May 2010

Firstpage

180

Lastpage

185

Abstract

In the web services domain, answering users´ needs sometimes requires the construction of new services based on existing ones. This problem is known as services composition. It consists in combining existing basic services into more sophisticated ones, which are able to meet users´ needs. The composition may be driven by various motivations. In the present paper we focus our attention on the problem of services composition driven by a set of independent objectives. In this context, we present a new evolutionary multi-objective optimization algorithm.

Keywords

Web services; evolutionary computation; optimisation; semantic Web; evolutionary algorithm; multi-objective optimization; semantic Web services; services composition; Approximation methods; Availability; Constraint optimization; Context-aware services; Evolutionary computation; Genetic algorithms; Optimization methods; Semantic Web; Web and internet services; Web services; evolutionary algorithms; multi-objective optimization; semantic web services; service composition;

fLanguage

English

Publisher

ieee

Conference_Titel

Internet and Web Applications and Services (ICIW), 2010 Fifth International Conference on

Conference_Location

Barcelona

Print_ISBN

978-1-4244-6728-0

Type

conf

DOI

10.1109/ICIW.2010.95

Filename

5476767