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Welcome to PaGMO/PyGMO

Parallel Global Multiobjective Optimizer (and its Python alter ego PyGMO) offers a user-friendly access to a wide array of global and local optimization algorithms and problems. The main purpose of the software is to provide a parallelization engine common to all algorithms through the 'generalized island model'. Initially developed within the European Space Agency, the code was intended to help the automated design of interplanetary trajectories and spacecraft transfers in general. The user can implement his own problem and algorithm both in C++ and in Python.

• PyGMO docs (sphinx) Python
• Pagmo docs (doxygen) C++
• Quick Tutorial of PaGMO (C++)
• Tutorials for PyGMO (Python)
• Bug Tracker
• IRC channel
• Release History
• V1.1.4 Release Notes

• Installing
• Guide to Compilation

• Compilation on 32bit Windows MSVC

• Compilation on 64bit Windows
  • PaGMO (C++) works
  • PyGMO (Python) doesn't; let us know if you succeed

• Source Code (browse git repo)
• Summer of Code 2013
• Development roadmap
• Developing guide
• Coding Style
• PyGMO.run_test()
• GIT commit access
• Mailing list

• Current version is V1.1.4. The Windows autoinstaller for PyGMO (python 2.7) can be downloaded here. For linux/OSx it is easy to compile and install for your architecure.

• 18.03.2013

      PaGMO/PyGMO is accepted as a mentoring organization for Google Summer of Code 2013.

• 18.03.2013

      PyGMO 1.1.4 Released.

• 01.01.2013

      PyGMO 1.1.4 .... release now in git development. Official release planned before May