Title :
Modified Particle Swarm Optimization (MPSO) algorithm for Web Service Selection (WSS) problem
Author :
Geetha, T. ; Sathya, M.
Author_Institution :
Dept. of Comput. Sci., Pondicherry Univ., Pondicherry, India
Abstract :
The Web Service Selection (WSS) plays a major role in the day to day life. The selection of the appropriate service is a NP-hard problem. To solve the NP-hard problem, we applied Computational Intelligence algorithms. These algorithms are suitable to tackle the complex real world problems. The application of these algorithms is used in various domains like engineering, computer science, economics, management, etc. In this paper, two algorithms are considered, PSO (Particle Swarm Optimization), and Modified PSO with which the efficiency of web service can be evaluated.
Keywords :
Web services; computational complexity; particle swarm optimisation; MPSO algorithm; NP-hard problem; WSS problem; Web service selection problem; computational intelligence algorithms; modified particle swarm optimization algorithm; Algorithm design and analysis; Benchmark testing; Birds; Optimization; Particle swarm optimization; Web services; Computational Intelligence algorithms; Modified PSO algorithm; PSO (Particle Swarm Optimization); Web Service Selection;
Conference_Titel :
Data Science & Engineering (ICDSE), 2012 International Conference on
Conference_Location :
Cochin, Kerala
Print_ISBN :
978-1-4673-2148-8
DOI :
10.1109/ICDSE.2012.6281954
