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Industrial Automatic Control Systems and Controllers

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Combined Evolutionary Algorithm of Multicriteria Optimization of the Biotechnological Process Program Regime
Serov V.A., Hitrin V.V.

The combined evolutionary algorithm of multicriteria optimization of the biotechnological process program control, consisting of two main stages: global and local search, is considered. The stage of global search is realized by means of genetic algorithm of a multicriteria optimization with program control spline-interpolation. For implementation of a stage of local search, the multicriteria genetic algorithm of possible directions using outcomes of a stage 1 as initial approximation is suggested. The constructed solution possesses a property of Pareto-optimality. The developed evolutionary computational technology allows to solve problems of multicriteria systems control optimization with nonlinear nonconvex objective functionals. Keywords: evolutionary computational technology, multicriteria optimization, genetic algorithm, program control, biotechnological process. E-mail: ser_off@inbox.ru, argus-surnet@rambler.ru

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