| C.Schumacher (2000) Black Box Search - Framework and Methods. PhD. thesis, The University of Tennessee, Knoxville. |
....problem (except for its dimensionality) is accessible only through evaluations of objective function in the sample points. This raises the issue of evaluation and comparison of different algorithms in such a black box optimisation scenario, which is currently being intensively studied (see e.g. [20,24]) Dynamical system model and the local optima structure. Several workers (see e.g. 1] have pointed out that in the GA on Boolean solutions space X = f0; 1g mutation is strongly connected to the local optima structure defined by Hamming distance: the effect of mutation at typical rates is ....
C.Schumacher (2000) Black Box Search - Framework and Methods. PhD. thesis, The University of Tennessee, Knoxville.
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