[ 原始碼： pyswarms ]
套件：python-pyswarms-doc（1.3.0-8）
documentation and examples for PySwarms
PySwarms is an extensible research toolkit for particle swarm optimization (PSO) in Python.
It is intended for swarm intelligence researchers, practitioners, and students who prefer a high-level declarative interface for implementing PSO in their problems. PySwarms enables basic optimization with PSO and interaction with swarm optimizations.
Features:
* High-level module for Particle Swarm Optimization * Built-in objective functions to test optimization algorithms * Plotting environment for cost histories and particle movement * Hyperparameter search tools to optimize swarm behaviour
This package contains the documentation and examples for PySwarms.
其他與 python-pyswarms-doc 有關的套件
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- dep: fonts-mathjax
- JavaScript display engine for LaTeX and MathML (fonts)
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- dep: libjs-jquery (>= 3.6.0)
- JavaScript library for dynamic web applications
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- dep: libjs-mathjax
- JavaScript display engine for LaTeX and MathML
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- dep: libjs-requirejs
- JavaScript file and module loader
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- dep: libjs-sphinxdoc (>= 7.3)
- JavaScript support for Sphinx documentation
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- dep: sphinx-rtd-theme-common (>= 2.0.0+dfsg)
- sphinx theme from readthedocs.org (common files)
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- sug: ipython3
- Enhanced interactive Python 3 shell
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- sug: python3-matplotlib
- Python based plotting system in a style similar to Matlab
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- sug: python3-pyswarms
- research toolkit for particle swarm optimization in Python
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- sug: python3-seaborn
- statistical visualization library for Python3