The mixture of trees factorized distribution algorithm

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“The mixture of trees factorized distribution algorithm” by R. Santana, A. Ochoa, and M. R. Soto. In Proceedings of the Genetic and Evolutionary Computation Conference GECCO-2001, (L. Spector, E. Goodman, A. Wu, W.B. Langdon, H.M. Voigt, M. Gen, S. Sen, M. Dorigo, S. Pezeshk, M. Garzon, and E. Burke, eds.), ( San Francisco, CA), 2001, pp. 543-550.

Abstract

This paper introduces a Factorized Distribution Algorithm based on a mixture of trees distribution. The probabilistic model and the learning algorithm used differs to previous uses of probabilistic modeling in the context of Evolutionary Computation. Preliminary results show the algorithm is competitive, and some times superior to other Factorized Distribution Algorithms. We also illustrate how particular features of the search space can be employed during the search by conveniently selecting the mixture of trees parameters.

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BibTeX entry:

@inproceedings{Santana_et_al:2001b,
   author = {R. Santana and A. Ochoa and M. R. Soto},
   editor = {L. Spector and E. Goodman and A. Wu and W.B. Langdon and H.M.
	Voigt and M. Gen and S. Sen and M. Dorigo and S. Pezeshk and M.
	Garzon and E. Burke},
   title = {The mixture of trees factorized distribution algorithm},
   booktitle = {Proceedings of the Genetic and Evolutionary Computation
	Conference {GECCO}-2001},
   pages = {543--550},
   publisher = { Morgan Kaufmann Publishers},
   address = { San Francisco, CA},
   year = {2001}
}

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