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Matches in SemOpenAlex for { <https://semopenalex.org/work/W1999543507> ?p ?o ?g. }

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• W1999543507 abstract "Abstract A Knowledge-Based Interval Modeling (KBIM) Method is introduced for empirical search of the global optimum. The method takes advantage of the a priori knowledge of the system in terms of the linear/nonlinear, monotonic/nonmonotonic, sensitivity information between the objective function/constraints and the system variables and incorporates it in an interval model. This enables the KBIM Method to uniquely interleave model-building and model-refinement in the optimal search process, which makes it ideally suited to cases where exact input-output relationship is not defined. The efficiency of the KBIM Method is enhanced by an on-line learning scheme which improves the accuracy of the interval model after each search iteration by comparing the estimated range of its outputs with the actual outputs. The KBIM method has several advantages over conventional empirical search methods: (1) the interval model provides a generic form of representation for linear and nonlinear problems alike; therefore, there..." @default.
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• W1999543507 date "2001-10-01" @default.
• W1999543507 modified "2023-09-28" @default.
• W1999543507 title "Knowledge-Based Interval Modeling Method for Efficient Global Optimization" @default.
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• W1999543507 doi "https://doi.org/10.1080/15320370108500202" @default.
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