pagmo
pagmo copied to clipboard
esa
A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model. State of the art optimization algorithms are included....
Hi, For multi objective problems with non linear constraints, can we run the algorithms directly without framing the nonlinear constraints into the problem definition? I am getting this error message...
Tried to install pykep using conda: but did not show installed or any message of success even after a lot of processing, then ended up using `pip install pykep` which...
I would like to use PAGMO with a C-based library, do you provide such C wrapper for the current code?
Just a question: I'm wondering why [you are not exposing ](https://esa.github.io/pagmo2/docs/cpp/algorithms/nlopt.html)DIRECT from the [NLOpt library](https://nlopt.readthedocs.io/en/latest/NLopt_Algorithms/), since, IMHO, it is one of the most useful algorithm from that library (for deterministic...
Hi , I installed pagmo for cpp and pygmo for python , in Cpp it works but the python version could find nothing! no problem , no algorithm ... any...
So, this is more of an enhancement than an actual issue, since I solved it myself, but wanted you people to know: I was trying to compile pagmo just with...
hi, This is not an issue, but rather a feature checking. I understand in terms of dominance checking, for 2d, there is the non_dominated_front_2d function that returns the non-dominated solutions....
Hello guys! I am getting an error when building on Ubuntu 16.04: `[ 49%] Built target pagmo_static[ 49%] Linking CXX executable mainsrc/libpagmo.a(jde.cpp.o): In function void boost::serialization::throw_exception(boost::archive::archive_exception const&):jde.cpp:(.text._ZN5boost13serialization15throw_exceptionINS_7archive17archive_exceptionEEEvRKT_[_ZN5boost13serialization15throw_exceptionINS_7archive17archive_exceptionEEEvRKT_]+0x1d): undefined reference to...
I am trying to use differential evolution for a problem where the function to minimize is of the form f(x,p) where x is the vector of constrained variables to change...
