Global Optimization with MATLAB
This submission contains the demo files used in the Global Optimization with MATLAB webinar: http://www.mathworks.com/videos/global-optimization-with-matlab-products-81716.html
MultStart Demos
* Peaks Minimization
* Nonlinear Curve Fitting
GlobalSearch Demos
* Peaks Minimization
* Volumentric Efficiency Maximization
Simulated Annealing Demos
* Peaks Minimization
* Eight Queens Problem
* Galactic Traveling Salesman
Pattern Search Demos
* Peaks Minimization
* Mount Washington Demo
Genetic Algorithm Demos
* Peaks Minmiziation
* Rastrigins Function Minimization
* Partical Swarm Example
* Multiobjective Genetic Algorithm
Comparison of Solvers on Rastrigins Function
* Comparison of Multiple Solvers on Rastrings
Cite As
Stuart Kozola (2021). Global Optimization with MATLAB (https://www.mathworks.com/matlabcentral/fileexchange/27178-global-optimization-with-matlab), MATLAB Central File Exchange. Retrieved .
Comments and Ratings (14)
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- Mathematics and Optimization > Global Optimization Toolbox >
- Sciences > Business, Economics, and Finance > Econometrics Toolbox >
- Mathematics and Optimization > Global Optimization Toolbox > Multiobjective Optimization >
- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Cluster Analysis > Nearest Neighbors >
- MATLAB > Mathematics > Graph and Network Algorithms > Shortest Path > Traveling Salesman (TSP) >
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Stuart,
Thank you very much for this tutorial. Very helpful. In particular the way you tweak the ga to make behave like a swarm is nice. Question: is ga an implementation of the differential evolution of Storn and Price (1997)?
hi,
i´m doing research and writing my master thesis. the assessed problem is a mixed integer linear problem. i´d like to apply a PSO within the global optimization toolbox and ga algorithm.
however, the ga optimization ignores the SelectionFcn, which has been defined as the core of the PSO.
could anyone help with this problem, please?
thanks a lot in advance
nice work
i am doing my university project on manufacturing cell design using PSO tool. The problem is defined as a part/machine incidence matrix which maps part and machine, and the clustering should be formed block diagonally in order to make the cells. the objective is to minimize exceptional element count (EE). the PSO particle string should contain the cell nos. and index of the string are the machine nos.
Since i am new to this field, facing problem to implement the logic and code. Can anyone help in this regards. Matlab is the interface of the program. the problem is shown in a link http://www.mypicx.com/uploadimg/53506343_09112010_1.jpg
Great
Looks sweet, thanks for the contribution