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- W2085154612 abstract "Untethered, underwater sensors, deployed for event detection and tracking and operating in an autonomous mode will be required to self-assemble into a configuration, which optimizes their coverage, effectively minimizing the probability that an event in the target area goes undetected. This organized, cooperative, and autonomous, spreading-out of the sensors is complicated due to sensors localized communication. A given sensor will not in general have position and velocity information for all sensors, but only for those in its communication area. A possible approach to this problem, motivated by an evolutionary optimization technique, Particle Swarm Optimization (PSO) is proposed and extended in a novel way. A distributed version of PSO is developed. A distributed version of PSO is explored using experimental fitness to address the coverage problem in a two dimensional area." @default.
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- W2085154612 date "2004-09-01" @default.
- W2085154612 modified "2023-10-16" @default.
- W2085154612 title "A distributed evolutionary algorithmic approach to the coverage problem for submersible sensors" @default.
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- W2085154612 doi "https://doi.org/10.1117/12.541664" @default.
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