NDLI: Distributed sensor placement with sequential particle swarm optimization

Content Provider	IEEE Xplore Digital Library
Author	Ngatchou, P.N. Fox, W.L.J. El-Sharkawi, M.A.
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA (Ngatchou, P.N.; Fox, W.L.J.; El-Sharkawi, M.A.)
Abstract	Sequential particle swarm optimization (S-PSO) is a modification of PSO suitable for high-dimensional optimization problems. S-PSO iteratively optimizes the objective function over randomly selected subspaces of the parameter search space instead of the entire parameter space at once as in standard PSO. This approach is advantageous since fewer particles are needed to solve the lower-dimension subproblems. S-PSO is applied to the distributed sonar sensor placement problem, where not only the dimensionality issue arises, but also the computational complexity of the objective function increases with the problem size. Simulations show that S-PSO outperforms standard PSO both in terms of convergence and computational efficiency.
Starting Page	385
Ending Page	388
File Size	393392
Page Count	4
File Format	PDF
ISBN	0780389166
DOI	10.1109/SIS.2005.1501647
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-06-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling Sonar applications Laboratories Acoustic sensors Iterative algorithms Acoustic signal detection Computational efficiency Particle swarm optimization Underwater acoustics Computational complexity
Content Type	Text
Resource Type	Article

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