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.

Authors: Tan, B. T. G.; Liu, N.
Affiliation: Department of Physics, National University of Singapore, Singapore, Republic of Singapore
JAES Volume 51 Issue 6 pp. 534-546; June 2003
Publication Date: June 15, 2003 Import into BibTeX
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=12219

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