Automated Parameter Optimization for Double Frequency Modulation Synthesis Using a Tree Evolution Algorithm

Tan BTG, Liu N. Automated Parameter Optimization for Double Frequency Modulation Synthesis Using a Tree Evolution Algorithm. J Audio Eng Soc. 2003;51(6):534-546. Available from: https://aes.org/publications/elibrary-page/?id=12219

@article{Tan2003_12219,
  author = {Tan, B. T. G. and Liu, N.},
  title = {{Automated Parameter Optimization for Double Frequency Modulation Synthesis Using a Tree Evolution Algorithm}},
  journal = {Journal of the Audio Engineering Society},
  volume = {51},
  number = {6},
  pages = {534--546},
  year = {2003},
  month = jun,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=12219}
}

TY  - JOUR
TI  - Automated Parameter Optimization for Double Frequency Modulation Synthesis Using a Tree Evolution Algorithm
AU  - Tan, B. T. G.
AU  - Liu, N.
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 51
IS  - 6
SP  - 534
EP  - 546
PY  - 2003
DA  - 2003/06/06
UR  - https://aes.org/publications/elibrary-page/?id=12219
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -