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Python解释器错误,x不带参数(给定1个)

python

我正在写一小段python作为作业,但我没有让它运行!我没有太多的Python经验,但是我知道很多Java。我正在尝试实现粒子群优化算法,这就是我所拥有的:

class Particle:

    def __init__(self,domain,ID):
        self.ID = ID
        self.gbest = None
        self.velocity = []
        self.current = []
        self.pbest = []
        for x in range(len(domain)):
            self.current.append(random.randint(domain[x][0],domain[x][1])) 
            self.velocity.append(random.randint(domain[x][0],domain[x][1])) 
            self.pbestx = self.current

    def updateVelocity():
    for x in range(0,len(self.velocity)):
        self.velocity[x] = 2*random.random()*(self.pbestx[x]-self.current[x]) + 2 * random.random()*(self.gbest[x]-self.current[x])


    def updatePosition():    
        for x in range(0,len(self.current)):
            self.current[x] = self.current[x] + self.velocity[x]

    def updatePbest():
        if costf(self.current) < costf(self.best):
            self.best = self.current

    def psoOptimize(domain,costf,noOfParticles=20, noOfRuns=30):
        particles = []
        for i in range(noOfParticles):    
            particle = Particle(domain,i)    
            particles.append(particle)

        for i in range(noOfRuns):
            Globalgbest = []
            cost = 9999999999999999999
        for i in particles:    
        if costf(i.pbest) < cost:
                cost = costf(i.pbest)
            Globalgbest = i.pbest
            for particle in particles:
                particle.updateVelocity()
                particle.updatePosition()
                particle.updatePbest(costf)
                particle.gbest = Globalgbest


        return determineGbest(particles,costf)

现在,我认为没有理由不起作用。但是,当我运行它时,出现此错误:

“ TypeError:updateVelocity()不接受任何参数(给定1个)”

我不明白!我没有给它任何论点!

谢谢您的帮助,

莱纳斯


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2020-12-20

共1个答案

小编典典

Python将对象隐式传递给方法调用,但是您需要为其显式声明参数。通常将其命名为self

def updateVelocity(self):
2020-12-20