Genetic algorithm for instruction of a neural network for vertikalizatsii ekzoskeleta with two criteria of optimisation
In a science and technics often enough it is necessary to solve problems mnogokriterialnoj the optimisation, demanding simultaneous optimisation at once by several criteria [18, 23, 28. 82, 90]. Corner concept in mnogokriterialnoj optimisation is - Pareto-optimum (not dominated) alternative.
Ioisk by the solution mnogokriterialnoj problems it is carried out on assemblage of not dominated alternatives. Ioetomu the solution mnogokriterialnoj optimisation problems is reduced to the methods, allowing to gate out subsets of Iareto-optimum alternatives from assemblage of possible alternatives.Iri odnokriterialnoj optimisation find point X1eD which is called as optimum (not dominated, not improved) if there is no point X2eD for which f (X1)> f (X2) (criterion function is minimised). Here symbol Dобозначена area in which criterion function (criterion) f (X) is set.
Iri mnogokriterialnoj optimisation (MKO) for any solution XeD a set of its estimations by all criteria, i.e. a set (F1 (X), F2 (X)..., Fm (X)), there is a vector estimation of the solution X. Vector estimation Xсодержит the full information on worth (utility) of this solution for LYRES and comparison of any two solutions is replaced comparison of their vector estimations.
If there are two solutions X1и X2, solution X1доминирует solution X2 if Fi (X1)
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