Abstract. Consider the problem of multi-criteria optimization with conflicting criteria. An example is the complex chemical production with random parameters. We describe using regression equations dependence of targets from control actions. Investigation of the systems of interdependent regression equations requires description of all possible variants of their properties. The most productive case is exact identification of the system parameters. It allows to find the optimal values of the control parameters for manufacturing of quality assured production.Keywords: multivariate optimization, statistical parameters, system of linear regressions, conflicting criteria.Citation: Kotenko AP, Pshenina DA. Multi-criteria optimization based on the identification systems of regression equations.
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