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Automated Parameter Optimization for Double Frequency Modulation Synthesis Using a Tree Evolution Algorithm
A new algorithm, the tree evolution algorithm (TEA), is proposed for parameter optimization separately in a complex solution space, with its search algorithm forming a tree structure. It is shown that the algorithm, which is based on the genetic annealing algorithm (GAA), is more accurate and more stable than GAA in estimating the optimum parameters for double frequency modulation (DFM) synthesis.
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