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Exact(4)
The maximum step width smax is crucial to the success of SA.
where smax(n) is the maximum step width at iteration n, s0 is the initial maximum step width, nmax the maximum number of iterations, and β is an adaptation constant.
Step width adapting simulated annealing (SWASA) [10] overcomes the problems associated with constant values for smax using a scaling function to adapt the maximum step width to the current iteration by s max ( n ) = 2 s 0 1 + e βn / n max, (4).
Typically, small and equally distributed random numbers from the interval [ −smax,smax] are added to each component of the current solution vector, where smax is called the maximum step width and is chosen from the interval between 0 and the upper limit of the search space dimension.
Similar(56)
However, for picking the proper step width μ, the maximum change per LCC step needs to be known which corresponds to the 'minimal' entry in Table 1.
Independent variables included variability of step length, step width, and step time.
The primary independent variables were the variability of step length, step width, and step time.
Handrail usage influenced the variability of step length and step width, but not of step time.
The temporospatial cluster included velocity, stride length, and step width.
Post birth the step width readapted to returned to normal.
No significant effects were found for step width, step time variability, and Walk-Ratio (P = 0.554 - 0.999).
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