| 摘要 |
An optimization process for optimizing inputs data relating to a function of a plurality of input-signals for which it is desired to find output values which give an optimum value of the function. Such output values are found by performing a plurality of cycles to reach a convergence, each of which cycles includes: (a) providing an old current value of each input signal, (b) selecting a test value of one or more input signals; (c) generating the function from the selected test values; and (d) selecting a new current value in dependence upon the relationship between the value of the function for the test value and the value of the function for the old current value. The test values include values close to old current values so as to move the input signal towards a local convergence for the output values. The finding of output values is adapted to perform the cycles such that in some but not all of the cycles, the test value of one or more input signals is selected to lie remotely within the range of the input signal to the old current value, so as to move the input signal towards a global convergence prior to completion of the local convergence. |
