Python scipy_diffev示例

示例#1

文件： minimizer.py 项目： brennerd11/lmfit-py

def _differential_evolution(func, x0, **kwds):
    """
    A wrapper for differential_evolution that can be used with scipy.minimize
    """
    kwargs = dict(args=(), strategy='best1bin', maxiter=None, popsize=15,
                  tol=0.01, mutation=(0.5, 1), recombination=0.7, seed=None,
                  callback=None, disp=False, polish=True,
                  init='latinhypercube')

    for k, v in kwds.items():
        if k in kwargs:
            kwargs[k] = v

    return scipy_diffev(func, kwds['bounds'], **kwargs)

示例#2

文件： minimizer.py 项目： vischia/lmfit-py

def _differential_evolution(func, x0, **kwds):
    """
    A wrapper for differential_evolution that can be used with scipy.minimize
    """
    kwargs = dict(args=(), strategy='best1bin', maxiter=None, popsize=15,
                  tol=0.01, mutation=(0.5, 1), recombination=0.7, seed=None,
                  callback=None, disp=False, polish=True,
                  init='latinhypercube')

    for k, v in kwds.items():
        if k in kwargs:
            kwargs[k] = v

    return scipy_diffev(func, kwds['bounds'], **kwargs)