Recent Metaheuristics Algorithms for Parameter Identification by Erik Cuevas & Jorge Gálvez & Omar Avalos

Recent Metaheuristics Algorithms for Parameter Identification by Erik Cuevas & Jorge Gálvez & Omar Avalos

Author:Erik Cuevas & Jorge Gálvez & Omar Avalos
Language: eng
Format: epub
ISBN: 9783030289171
Publisher: Springer International Publishing


The distance is defined as the Euclidian distance . Hence, as it is exposed in Fig. 6.4a, complementary functions produce the relative distance : short (S) and large (L). Their values range from 0 and , where represents the maximum distance within the search space X and it is defined as follows:

(6.6)

where d represents the dimensionality of the search space X. For the case of , two different functions produce its relative values: bad (B) and good (G). Their values are within and . These values represent the minimum and maximum fitness values ben so far. Hence, they can be formulated as follows:



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