esa/pygmo2
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
This library helps engineers and scientists efficiently solve complex optimization problems by allowing them to run many calculations simultaneously. You define your problem and chosen algorithm, and it provides the best possible solutions or parameters after performing calculations across multiple processors or machines. It's designed for researchers, operations engineers, or data scientists working on large-scale optimization tasks.
520 stars. No commits in the last 6 months.
Use this if you need to find optimal solutions for complex problems quickly by distributing the computational workload.
Not ideal if your optimization problems are simple, small-scale, or do not require parallel computation to solve in a reasonable timeframe.
Stars
520
Forks
66
Language
C++
License
MPL-2.0
Category
Last pushed
Aug 10, 2024
Commits (30d)
0
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