MOBOpt
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Multi-objective Bayesian optimization
Hi, I get the error message "TypeError: only integer scalar arrays can be converted to a scalar index" when I try to inizialize my optimizer. I belive it is because...
Hi, I really admire your work, it is very useful for me. I would like to know whether the library supports the multi-objective optimization when the search space is discrete...
During installation using pip _pip3 install https://github.com/ppgaluzio/MOBOpt/archive/master.zip_ it reverts back error. requires installation of deap Use pip3 install deap.
Hi there, Your code has been very practical for me. I want to thank you, at first, for this. Second of all, I have so many problems with high dimensionality....
Hello @ppgaluzio , I have a suggestion! Why don't we make a little changes in the current flow of the framework, in which, instead of accepting the objective function during...
Hi, Thank you for the library. There is just a small bug in the code related to random point selection and inequality constraints handling. During initialisation with random points the...
Hi, Thanks for the great Library. I was wondering do I need to normalize different objective functions? In case they are in different ranges. For example, f1, f2 are in...
Hi, I like your code :) I was wondering if you can implement the use of kernels with individual parameters for each feature. This tends to make the GPs more...
First of all, I would like to ask how the target function value corresponding to pop is calculated in _NSGA2.py, and whether pop is the target function value or the...
Hello @ppgaluzio, I love your code of MOBOpt. It's very useful and help me a lot! But I also have a question. I know many MOBO models use 'acquision function'...