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A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

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This typo "algortihm" is found in several classes, eg https://github.com/esa/pagmo2/blob/master/src/algorithms/nsga2.cpp#L120

bug

According to [this discussion](https://github.com/esa/pagmo2/issues/485), all algorithms should behave the same with `gen=N` vs `N` calls with `gen=1` (Did I understand correcly?). I tried with PSO in pygmo, and couldn't make...

bug

Hi. I see that Pagmo ver 1 used to have a robust metaproblem (http://esa.github.io/pagmo/classpagmo_1_1problem_1_1robust.html#details). I would like to use it, but it has not been carried over to version 2....

enhancement

**Describe the bug** If a constrained integer problem is solved using cstrs_self_adaptive with pagmo::sga (or any other integer capable algorithm), the decision vectors consist of floating point numbers instead of...

bug

In response to #285 and #325 this PR aims to clarify and simplify the tutorials for beginners. It extends the initial "Writing your first optimisation problem" and merges the "Evolving...

**Is your feature request related to a problem? Please describe.** Currently, archipelago evolution has a bottleneck since selection and migration policies are executed in the main thread. This is barely...

enhancement

Over the past few months, our team has been attempting to use PaGMO to help improve the capabilities of a real-time path planning application for robotic industrial arms, specifically within...

enhancement

It would be useful to have some more performance metrics for MO optimization. For instance, some that are often used in MO papers are: - [ ] Diversity of the...

enhancement

Hello, I would like to request the addition of a stopping criteria that stops the optimization process when there is no improvement in the best fitness in some number of...

enhancement

Hello, I would like to request the implementation of the Simplicial Homology Global Optimisation (SHGO) algorithm by Stefan Endres. It is a highly efficient derivative-free method for global optimization, usually...

enhancement