binary_optimization.py 文件源码

def levy_flight(beta,best,est,alpha):
    sg=sigma(beta)
    u=np.random.normal(0,sg**2)
    v=abs(np.random.normal(0,1))
    step=u/pow(v,1/beta)
    step_size=alpha+step#+(step*(est-best))
    new=est+step_size#*np.random.normal()#random.normalvariate(0,sg)
    return new