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Fitness variation with generation

The variation with generation number of the average fitness of the population and the fitness of the best string within that population are shown in Figure 5.16. The fairly steady rise in the fitness of the best string and the more erratic improvement of the average fitness are typical of the progress of... [Pg.133]

Variation of the fitness of the best string (upper line) and the average population fitness (lower line) with generation number. [Pg.134]

The plasmodial enzyme must have some significant differences from that of other sources. Certain variations of particular amino acids have been identified and even related to tertiary structural features of the pockets into which the pteridine nucleus fits. Stereoscopic representations generated from X-ray diffraction data have been obtained from DHFR co-crystallized with MTX, and the co-enzyme NADPH has helped elucidate goodness of fit, or its absence, of the inhibitor. [Pg.288]

Calibration of FAGE1 from a static reactor (a Teflon film bag that collapses as sample is withdrawn) has been reported (78). In static decay, HO reacts with a tracer T that has a loss that can be measured by an independent technique T necessarily has no sinks other than HO reaction (see Table I) and no sources within the reactor. From equation 17, the instantaneous HO concentration is calculated from the instantaneous slope of a plot of ln[T] versus time. The presence of other reagents may be necessary to ensure sufficient HO however, the mechanisms by which HO is generated and lost are of no concern, because the loss of the tracer by reaction with whatever HO is present is what is observed. Turbulent transport must keep the reactor s contents well mixed so that the analytically measured HO concentration is representative of the volume-averaged HO concentration reflected by the tracer consumption. If the HO concentration is constant, the random error in [HO] calculated from the tracer decay slope can be obtained from the slope uncertainty of a least squares fit. Systematic error would arise from uncertainties in the rate constant for the T + HO reaction, but several tracers may be employed concurrently. In general, HO may be nonconstant in the reactor, so its concentration variation must be separated from noise associated with the [T] measurement, which must therefore be determined separately. [Pg.374]

If the site bounds are increased, ligand structural variation will be increased. To explore how much variation could be quantified, consider a simple case. Let there be five site points, with required features, that are needed for producing activity, and say n structures could be generated within a particular constraint set. If the limits of B are expanded twofold to include 10 possible site points, then the number of combinations of 5 from 10 is 252. It is more than likely that >252n structures are possible that fit the design criteria. [Pg.34]

There exist variations on aforementioned procedures. Equations with parameters raised to a power, such as Xf, may be considered as linear in a variable Zj (= X, ). For example, a squared parameter might be used in the case of an extremum occurring in a plot of a property versus some parameter such as the molecular volume. Such a relation might be expected if there exists maximum molecular size for fitting into a receptor cavity. Other mathematical functions of the primitive descriptors can likewise be used to generate terms. Linear regression models are preferred because the terms in Eq. [1] have relatively simple physical interpretations. [Pg.231]

Within the density functional theory (DFT), several schemes for generation of pseudopotentials were developed. Some of them construct pseudopotentials for pseudoorbitals derived from atomic calculations [29] - [31], while the others make use [32] - [36] of parameterized analytical pseudopotentials. In a specific implementation of the numerical integration for solving the DFT one-electron equations, named Discrete-Variational Method (DVM) [37]- [41], one does not need to fit pseudoorbitals or pseudopotentials by any analytical functions, because the matrix elements of an effective Hamiltonian can be computed directly with either analytical or numerical basis set (or a mixed one). [Pg.138]

The experimental device consists in a Carlo-Erba Serie 200 porosimeter, a data acquisition unit Hawlett Packard 3497A. a microcomputer PC connected to a printer. The sample is set in a pirex dilatometer having a fitting calibrated capillary. This is filled with mercury under the pressure. Variations in mercury level in the capillary tube are followed by a needle held in contact with the mercury surface. The needle comes down thanks to a motor device can generate electrical impulses corresponding to needle variations of 0.1 mm. These impulses are transmitted to a data acqisition unit and then to a microcomputer which would record the... [Pg.450]


See other pages where Fitness variation with generation is mentioned: [Pg.158]    [Pg.152]    [Pg.300]    [Pg.648]    [Pg.347]    [Pg.628]    [Pg.185]    [Pg.379]    [Pg.342]    [Pg.583]    [Pg.74]    [Pg.240]    [Pg.174]    [Pg.805]    [Pg.291]    [Pg.74]    [Pg.239]    [Pg.433]    [Pg.129]    [Pg.17]    [Pg.582]    [Pg.230]    [Pg.193]    [Pg.201]    [Pg.138]    [Pg.406]    [Pg.96]    [Pg.172]    [Pg.219]    [Pg.18]    [Pg.39]    [Pg.570]    [Pg.17]    [Pg.65]    [Pg.138]    [Pg.491]    [Pg.152]    [Pg.107]    [Pg.327]    [Pg.49]    [Pg.90]    [Pg.168]   
See also in sourсe #XX -- [ Pg.131 , Pg.134 ]




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