Title :
Parallelization of Particle Swarm Optimization and Its Implementation on Scalable Multi-core Architecture
Author :
Chauhan, N.C. ; Aggarwal, Dhruv ; Banga, Rohit ; Mittal, Ankush ; Kartikeyan, M.V.
Author_Institution :
Dept. of Electron.&Comput. Eng., Indian Inst. of Technol. Roorkee, Roorkee
Abstract :
The Particle Swarm Optimization (PSO) is a stochastic, population-based algorithm for search and optimization from a multidimensional space. Many engineering design problems in real life have complicated optimization functions, which require massive computational power, to solve in reasonable time when implemented sequentially. Thus, scalable parallel implementations are required to speed up these algorithms, and reduce the over-all design process time. In this paper, we present a model for parallelization of PSO algorithm, and its implementation on Cell Broadband Engine architecture.
Keywords :
parallel processing; particle swarm optimisation; cell broadband engine architecture; multidimensional space; particle swarm optimization; scalable multicore architecture; Algorithm design and analysis; Computer architecture; Design engineering; Design optimization; Multidimensional systems; Particle swarm optimization; Power engineering and energy; Power engineering computing; Process design; Stochastic processes;
Conference_Titel :
Advance Computing Conference, 2009. IACC 2009. IEEE International
Conference_Location :
Patiala
Print_ISBN :
978-1-4244-2927-1
Electronic_ISBN :
978-1-4244-2928-8
DOI :
10.1109/IADCC.2009.4809042
