Opytimizer

The library provides a set of predefined meta-heuristic algorithms, but extending or modifying these algorithms requires deep knowledge and may not be straightforward.

Meta-heuristic optimization methods implemented in Opytimizer might suffer from performance issues when applied to very large datasets or complex problem spaces, leading to longer computation times.

The library has a relatively small user base compared to more established optimization libraries, which can result in fewer contributions and slower resolution of issues reported by users.

While the documentation provides basic usage examples, it falls short when it comes to demonstrating how to tackle more complex or specific optimization problems with Opytimizer.