P. Del Moral

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The goal of this paper is to design a new control algorithm for open-loop control of complex systems. This control approach is based on a genealogical decision tree for both regulation and tracking control problems. The idea behind this control strategy consists of associating Gaussian distributions to both the norms of the control actions and the tracking(More)
Currently, 1000 whole human genomes are being sequenced. It is becoming exceedingly difficult to extract critical information from such extensive population-level genomic data reliably to solve pressing biomedical problems. Several approximate methods are being used without sound statistical justification to extract information from such complex data. This(More)
A new approach based on a genealogical decision tree is suggested for solving an open-loop tracking problem. The algorithm associates Gaussian distributions to both the norms of the control actions and the tracking errors. It solves the optimization problem sequentially, using random resampling from a population of solutions. This stochastic search model(More)
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