DocumentCode :
2695218
Title :
Integrating planning and scheduling based on genetic algorithms to an workflow system
Author :
Alves, Fabiano S R ; Guimarães, Kairon F. ; Fernandes, Márcia A.
Author_Institution :
Fed. Univ. of Uberlandia, Uberlandia
fYear :
2007
fDate :
25-28 Sept. 2007
Firstpage :
3766
Lastpage :
3775
Abstract :
Workflow systems have been widely employed; however, the automatic generation of process models, specially applied in the Web Service domains is still an area to be explored. The Web services composition in Workflow is an emerging paradigm that allows the interaction both of internal applications and of applications that go beyond organizational boundaries. In this context, this paper presents an architecture based on the use of a genetic planner in order to obtain the automatic generation of models for Web Service Workflow. A simulation environment is also proposed by using scheduling techniques based on the use of genetic algorithms to select the most suitable process model.
Keywords :
Web services; genetic algorithms; planning; scheduling; Web Service domain; Web services composition; automatic process model generation; genetic algorithms; planning; scheduling; simulation environment; workflow system; Application software; Artificial intelligence; Business; Computer architecture; Genetic algorithms; Process planning; Processor scheduling; Service oriented architecture; Web and internet services; Web services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1339-3
Electronic_ISBN :
978-1-4244-1340-9
Type :
conf
DOI :
10.1109/CEC.2007.4424961
Filename :
4424961
Link To Document :
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