开源软件名称：

开源软件地址：

开源软件介绍：

slapy

1. installfrom pypi:

pip install snowland-algorithm

orfrom source code:

download code from https://gitee.com/hoops/snowland-algorithm-python, you can choose a release versionpip install -r requirements.txtpython setup.py install

1. dirs

   1. graph

      1. dijkstra(v0.0.1+)
      2. spfa(v0.0.1+)

   2. swarm

      1. pso(v0.0.1+)
      2. gso(v0.0.2+)
      3. fa(v0.0.3+)
      4. cso(v0.0.6+)
      5. ba(v0.0.6+)
      6. sfla(v0.0.6+)
      7. bas(v0.0.6+)
      8. sa(v0.0.6+)
      9. fwa(v0.0.6+)

2. quick use

   1. import package>>> from slapy.swarm.package_name import engine_name2. define the fitness functionexample:

   >>> fun = lambda x: np.cos(x[0]) + np.sin(x[0]) - x[0] * x[1]

   note: arg need to be 1 X n vector3. run the model>>> engine = engine_name(your_args)>>> engine.run()4. show result>>> x, y = engine.gbest.chromosome>>> print('max value', fun(engine.gbest.chromosome))>>> print('x:', x, 'y:', y)There is a example for PSO.

   >>> def fun(vars):>>>     # fitness function>>>     x, y = vars>>>     if 1 <= x <= 2 * np.pi and 1 <= y <= np.pi:>>>         return np.cos(x) + np.sin(x) - x * y>>>     else:>>>         return -2 - 4 * np.pi ** 2  # return a small float number can not reach

   >>> if __name__ == '__main__':>>>    engine = PSOEngine(vmax=0.01, bound=[[1, 2 * np.pi]], min_fitness_value=-1, dim=2, fitness_function=fun, steps=100)>>>    engine.run()>>>    x, y = engine.gbest.chromosome>>>    print('max value', fun(engine.gbest.chromosome))>>>    print('x:', x, 'y:', y)