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Application Research of Multi-objective Particle Swarm Algorithm in Web Service Somposition

Author: WangYangYang
Tutor: ChenZhiGuo
School: Henan University
Course: Applied Computer Technology
Keywords: Web service composition Quality of service Multi-objective particle swarm optimization Crowding
CLC: TP393.09
Type: Master's thesis
Year: 2010
Downloads: 120
Quote: 2
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Web Services in recent years as a new technology of wide public concern . Web Services Interface Definition Language WSDL and content delivery format SOAP has become a W3C draft proposed standard . However, in practical applications , a single Web service is usually not be able to satisfy the complex needs of the application . Therefore, how to integrate a single Web services to form a more powerful Web service portfolio to meet the complex application of different users has become a new research focus . This paper focuses on Web service composition related key technologies combined with multi- objective particle swarm algorithm to conduct research . The main work of this paper are as follows: 1 , proposed an improved multi - objective particle swarm optimization ( IDMPSO ) . Through the analysis of multi- objective particle swarm optimization study found that the traditional multi- objective particle swarm algorithm for the existence of low efficiency , precocious puberty and other issues . The traditional multi-objective particle swarm optimization improvements, major improvements include : the selection of Pareto optimal solution retention policy and global optimal particle . Pareto optimal solution retained by the introduction of of auxiliary containers and temporary container to achieve a Pareto optimal solution retained and delete the temporary container redundant particles through intensive distance . Global optimal particle selection , combined with the of intensive distance and Euclidean distance propose a new global optimal particle selection methods . 2, in two areas of convergence and diversity of the improved algorithm for testing , were compared by three typical test function with a different algorithm , and is proved to have a good performance in terms of convergence and diversity . Finally, the improvement of the test function obtained by the algorithm Pareto curve and the theoretical Pareto curve comparison, further validation of the algorithm has a good performance . 3 , IDMPSO algorithm applied to QoS-based Web service composition problem , and CMPSO algorithm comparison , found that although IDMPSO algorithm running time is slightly longer than the running time of the CMPSO algorithm , but get the solution than CMPSO algorithm get solutions Jiaoyou and verify the feasibility and effectiveness of IDMPSO algorithm .

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