## Mixtures of Generalized Mallows models for solving the quadratic assignment problem

- Josu Ceberio, Roberto Santana, Alexander Mendiburu, José Antonio Lozano
- 2015 IEEE Congress on Evolutionary Computation…
- 2015

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@article{Bosman2002MultiobjectiveOW, title={Multi-objective optimization with diversity preserving mixture-based iterated density estimation evolutionary algorithms}, author={Peter A. N. Bosman and Dirk Thierens}, journal={Int. J. Approx. Reasoning}, year={2002}, volume={31}, pages={259-289} }

- Published 2002 in Int. J. Approx. Reasoning
DOI:10.1016/S0888-613X(02)00090-7

Stochastic optimization by learning and using probabilistic models has received an increasing amount of attention over the last few years. Algorithms within this field estimate the probability distribution of a selection of the available solutions and subsequently draw more samples from the estimated probability distribution. The resulting algorithms have displayed a good performance on a wide variety of single– objective optimization problems, both for binary as well as for real–valued… CONTINUE READING

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