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.
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is temporarily free for AES members.