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Surrogate Model Optimization Toolbox

4.0 | 3 ratings Rate this file 39 Downloads (last 30 days) File Size: 1.88 MB File ID: #38530 Version: 1.0

Surrogate Model Optimization Toolbox


Julie (view profile)


Surrogate model optimization algorithm for computationally expensive global optimization problems

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Description: Surrogate model toolbox for
- unconstrained continuous
- constrained integer
- constrained mixed-integer
global optimization problems that are computationally expensive.
The user can choose beween different options for
- the surrogate model
- the sampling strategy
- the initial experimental design
The user can determine the maximum number of allowed function evaluations, the number of points in the initial starting design, and one or more points that are added to the starting design.
The algorithm is useful when a single function evaluation is very time-consuming and therefore good approximations of the global optimum must be found within a very restricted number of evaluations.

Required Products Optimization Toolbox
Statistics and Machine Learning Toolbox
MATLAB release MATLAB 7.13 (R2011b)
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Comments and Ratings (5)
16 Jan 2017 lijunqiang

This toolbox is very helpful for me. Thanks for the author.

25 Nov 2016 Chengshan Li

29 Apr 2013 Michal Kvasnicka

Any hints and examples for parallel object and constraints functions evaluations?

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29 Apr 2013 Michal Kvasnicka

Is posible to use general nonlinear constraints at mixed-integer mode without any integer variables ... to solve pure continuous problems with constraints?

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29 Apr 2013 Michal Kvasnicka

Good job!!!

Why are not included nonlinear constraints for continous problems???

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