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A Boltzmann Multivariate Estimation of Distribution Algorithm for Continuous Optimization
2014
Proceedings of the International Conference on Evolutionary Computation Theory and Applications
This paper introduces an approach for continuous optimization using an Estimation of Distribution Algorithm (EDA), based on the Boltzmann distribution. When using the objective function as energy function, the Boltzmann function favors the most promising regions, making the probability exponentially proportional to the objective function. Using the Boltzmann distribution directly for sampling is not possible because it requires the computation of the objective function values in the complete
doi:10.5220/0005079902510258
dblp:conf/ijcci/DominguezVA14
fatcat:3jhhvoo2qrebpbstz6polzanz4