Best Approach for Optimisation using both doubles and integers as variables
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I have an optimisation problem where the inputs are both integer based (take from a table of options say 50) and double based (dimensions). Is there a way of including both types of variables in an optimisation using the optimisation toolbox or other method?
What I have been doing is limiting the GA between 0 and 1 then scaling the values. For the integer I have ben assigning them ranges. For example for 10 options 0 to 0.1 would be 1, 0.1 to 0.2 is 2 and so on. I know this is not very efficient
Any suggestions would be appreciated
Ross
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Alan Weiss
2013-3-15
If you have Global Optimization Toolbox R2011b or later, then mixed integer programming is a built-in feature. See the documentation:
If you have R2011a or earlier, you can try this tech support solution, which will require you to do some programming.
Good luck,
Alan Weiss
MATLAB mathematical toolbox documentation
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