Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Brian J Reardon"'
Autor:
Michael S. Hamada, Brian J. Reardon, Timothy J. Ross, Lorenzo Najera, Jane M. Booker, Cheryll L. Faust, Ron M. Dolin
Publikováno v:
Military Operations Research. 11:27-44
Autor:
Brian J. Reardon
Publikováno v:
Materials and Manufacturing Processes. 18:493-508
A genetic algorithm (GA) is used to optimize the hot isostatic pressing (HIPing) process for beryllium powder. The GA evaluates a HIPing model with different processing schedules in an effort to minimize temperature, pressure, processing time, ramp r
Autor:
Sherri R. Bingert, Brian J. Reardon
Publikováno v:
Acta Materialia. 48:647-658
A Bayesian enhanced genetic algorithm (GA) addresses the inverse and ill-posed problem of optimizing the 19 parameters of micromechanical powder densification models for tantalum using limited and uncertain data sets that leave the optimization probl
Autor:
Brian J. Reardon
Publikováno v:
Modelling and Simulation in Materials Science and Engineering. 7:1061-1081
It is shown that a genetic algorithm (GA) is in fact a Bayesian inference engine and as such the tools of Bayesian analysis can be applied to the output of a GA to rectify a number of deficiencies in the overall GA technique. In this work, the Bayesi
Publikováno v:
Journal of Biological Chemistry. 273:33991-33999
Drosophila Rrp1 is a DNA repair nuclease whose C-terminal region shares extensive homology with Escherichia coli exonuclease III, has nuclease activity, and provides resistance to oxidative and alkylating agents in repair-deficient E. coli strains. T
Autor:
Brian J. Reardon
Publikováno v:
Modelling and Simulation in Materials Science and Engineering. 6:717-734
A new multiobjective selection procedure for a genetic algorithm (GA) based on the paradigms of fuzzy logic is introduced, discussed and compared to the niched Pareto selection procedure. In the two example problems presented here (Schaffer's F2 prob
Autor:
Brian J. Reardon
Publikováno v:
Modelling and Simulation in Materials Science and Engineering. 6:735-746
A fuzzy logic based multiobjective genetic algorithm (GA) is used to optimize micromechanical densification modelling parameters for warm isopressed beryllium powder. In addition to optimizing the 19 main parameters of the model with 17 objective fun
Autor:
Brian J. Reardon, John Kieffer
Publikováno v:
Philosophical Magazine B. 77:907-924
Alkali chlorides in both their rock-salt and CsCl modifications were isotropically expanded or compressed to produce non-equilibrium structures while preserving the crystal symmetries and perfect force balance. These structures were analysed by deter
Publikováno v:
Philosophical Magazine B. 77:907-924
Publikováno v:
Nucleic Acids Research. 23:4900-4906
The DAT1 gene of Saccharomyces cerevisiae encodes a DNA binding protein (Dat1p) that specifically recognizes the minor groove of non-alternating oligo(A).oligo(T) tracts. Sequence-specific recognition requires arginine residues found within three per