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Parameter estimates for FMINCON and best performing global, single objective optimization algorithms. The mean and standard deviation are presented for each parameter and approach.

Journal: MethodsX

Article Title: Accurate and reliable estimation of kinetic parameters for environmental engineering applications: A global, multi objective, Bayesian optimization approach

doi: 10.1016/j.mex.2019.05.035

Figure Lengend Snippet: Parameter estimates for FMINCON and best performing global, single objective optimization algorithms. The mean and standard deviation are presented for each parameter and approach.

Article Snippet: Here, the results of the FMINCON constrained nonlinear optimization tool provided by MATLAB (and commonly used for parameter estimation in past studies) are compared to the best performing global optimization algorithms used in this study.

Techniques: Standard Deviation

Objective function estimates for FMINCON and best performing global, single objective optimization algorithms. The mean and standard deviation are presented for each parameter and approach.

Journal: MethodsX

Article Title: Accurate and reliable estimation of kinetic parameters for environmental engineering applications: A global, multi objective, Bayesian optimization approach

doi: 10.1016/j.mex.2019.05.035

Figure Lengend Snippet: Objective function estimates for FMINCON and best performing global, single objective optimization algorithms. The mean and standard deviation are presented for each parameter and approach.

Article Snippet: Here, the results of the FMINCON constrained nonlinear optimization tool provided by MATLAB (and commonly used for parameter estimation in past studies) are compared to the best performing global optimization algorithms used in this study.

Techniques: Standard Deviation

Parameter estimates for FMINCON and best performing global, single objective optimization algorithms when the search space was constrained. The mean and standard deviation are presented for each parameter and local optimization method. The best parameter set achieved for the global optimization methods after 5 repetitions are presented for reference.

Journal: MethodsX

Article Title: Accurate and reliable estimation of kinetic parameters for environmental engineering applications: A global, multi objective, Bayesian optimization approach

doi: 10.1016/j.mex.2019.05.035

Figure Lengend Snippet: Parameter estimates for FMINCON and best performing global, single objective optimization algorithms when the search space was constrained. The mean and standard deviation are presented for each parameter and local optimization method. The best parameter set achieved for the global optimization methods after 5 repetitions are presented for reference.

Article Snippet: Here, the results of the FMINCON constrained nonlinear optimization tool provided by MATLAB (and commonly used for parameter estimation in past studies) are compared to the best performing global optimization algorithms used in this study.

Techniques: Standard Deviation