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The National Technical Information Service acquires, indexes, abstracts, and archives the largest collection of U.S. government-sponsored technical reports in existence. The NTRL offers online, free and open access to these authenticated government technical reports. Technical reports and documents in its repository may be available online for free either from the issuing federal agency, the U.S. Government Publishing Office’s Federal Digital System website, or through search engines.

Details

Kalman Extension of the Genetic Algorithm.

DE2001763268

Publication Date	2000
Personal Author	Stroud, P.
Page Count	15
Abstract	This Kahnan-Darwin formulation is applied to the problem of maintaining an optimal network configuration of links between moving nodes, with time-dependent, stochastic blockages. The nodes, for example, could be environmental sensors with radio transmitter/relays located on vehicles, and the network is configured to provide communication paths from each sensor back to a central node with minimum message loss. As the sensors move, the optimal network changes, but information contained within the GA population of solutions allows new optima to be efllciently obtained. The performance of this approach is explored and results are presented.
Keywords	Algorithms Sensors Radiotransmitters Communication networks Genetics Lanl
Source Agency	Technical Information Center Oak Ridge Tennessee
NTIS Subject Category	72 - Mathematical Sciences 49 - Electrotechnology
Corporate Authors	Los Alamos National Lab., NM.; Department of Energy, Washington, DC.
Document Type	Conference Proceedings
NTIS Issue Number	200123
Contract Number	W-7405-ENG-36

Kalman Extension of the Genetic Algorithm.

Kalman Extension of the Genetic Algorithm.
DE2001763268

Publication Date	2000
Personal Author	Stroud, P.
Page Count	15
Abstract	This Kahnan-Darwin formulation is applied to the problem of maintaining an optimal network configuration of links between moving nodes, with time-dependent, stochastic blockages. The nodes, for example, could be environmental sensors with radio transmitter/relays located on vehicles, and the network is configured to provide communication paths from each sensor back to a central node with minimum message loss. As the sensors move, the optimal network changes, but information contained within the GA population of solutions allows new optima to be efllciently obtained. The performance of this approach is explored and results are presented.
Keywords	Algorithms Sensors Radiotransmitters Communication networks Genetics Lanl
Source Agency	Technical Information Center Oak Ridge Tennessee
NTIS Subject Category	72 - Mathematical Sciences 49 - Electrotechnology
Corporate Authors	Los Alamos National Lab., NM.; Department of Energy, Washington, DC.
Document Type	Conference Proceedings
NTIS Issue Number	200123
Contract Number	W-7405-ENG-36