Optimisation of underwater acoustic sensor networks
Abstract
This contribution describes two methodologies based on evolutionary algorithms and Linear
Programming to determine optimal configurations of underwater acoustic sensor networks maximising source detection capabilities, while accounting for the overall physical state of the marine environment. The optimisation framework is evaluated with the different optimisation algorithms. The relevance of various objectives, or metrics, are discussed, as well as specific search operators for crossover and mutation.
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