Stationary probability density of stochastic search processes in global optimization

Details Stationary probability density of stochastic search processes in global optimization Stationary probability density of stochastic search processes in global optimization

2007-10-18

arxiv.org/abs/0710.3561v1

J. Stat. Mech. (2008) P01013

Computer Science

Artificial Intelligence

Scientific paper

10.1088/1742-5468/2008/01/P01013

A method for the construction of approximate analytical expressions for the stationary marginal densities of general stochastic search processes is proposed. By the marginal densities, regions of the search space that with high probability contain the global optima can be readily defined. The density estimation procedure involves a controlled number of linear operations, with a computational cost per iteration that grows linearly with problem size.

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