ParMOO: Python library for parallel multiobjective simulation optimization

ParMOO is a Python library for solving multiobjective simulation-based optimization problems, while exploiting problem structure.

ParMOO stands for “parallel multiobjective optimization”. ParMOO can be used to solve multiobjective optimization problems (MOOPs) or to generate batches of simulation inputs for parallel evaluation.

ParMOO is intended for scientists, engineers, optimizers, and other practitioners, who are looking to build or use custom solvers for computationally expensive multiobjective problems.

If you’re new to ParMOO:

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