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      Learning-driven feasible and infeasible tabu search for airport gate assignment

      , ,
      European Journal of Operational Research
      Elsevier BV

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          The irace package: Iterated racing for automatic algorithm configuration

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            A Novel Gate Resource Allocation Method Using Improved PSO-Based QEA

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              A review of techniques for parameter sensitivity analysis of environmental models.

              D M Hamby (1994)
              Mathematical models are utilized to approximate various highly complex engineering, physical, environmental, social, and economic phenomena. Model parameters exerting the most influence on model results are identified through a 'sensitivity analysis'. A comprehensive review is presented of more than a dozen sensitivity analysis methods. This review is intended for those not intimately familiar with statistics or the techniques utilized for sensitivity analysis of computer models. The most fundamental of sensitivity techniques utilizes partial differentiation whereas the simplest approach requires varying parameter values one-at-a-time. Correlation analysis is used to determine relationships between independent and dependent variables. Regression analysis provides the most comprehensive sensitivity measure and is commonly utilized to build response surfaces that approximate complex models.
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                Author and article information

                Contributors
                Journal
                European Journal of Operational Research
                European Journal of Operational Research
                Elsevier BV
                03772217
                October 2022
                October 2022
                : 302
                : 1
                : 172-186
                Article
                10.1016/j.ejor.2021.12.019
                ba5d98b1-d437-4bc4-8dd8-fafdde65b5a1
                © 2022

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

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