"Knowledge is power, sharing it is the premise of progress in life.
It seems like a burden to someone, but it is the only way to achieve immortality.
`Nguyen Van Thieu`_
MEALPY is a Python library for the most of cutting-edge population meta-heuristic algorithms - a field which provides an fast and efficient way to find the global optimal point of mathematical optimization problems.
Population meta-heurisitc algorithms (PMA) are the most popular algorithm in the field of optimization. There are several type of PMA such as:
- Evolutionary inspired computing
- Swarm inspired computing
- Physics inspired computing
- Human inspired computing
- Biology inspired computing
- And others such as: Music inspired, Mathematical inspired computing,...
- Our library provides all of the state-of-the-art population meta-heuristic algorithms for optimization problems.
- We implement all algorithms in Numpy to increase speed of algorithms.
- We've also designed the visualization module to help users understand and explore the result that the model discovers after learning
.. toctree:: :maxdepth: 4 :caption: Quick Start: pages/quick_start.rst
.. toctree:: :maxdepth: 4 :caption: Models API: pages/models.rst pages/visualization.rst
.. toctree:: :maxdepth: 4 :caption: Support: pages/support.rst