Comments (2)
makabaka123456
commented on May 20, 2024
2
非常感谢。元宵节快乐~~
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PytLab
commented on May 20, 2024
无论是多少参数，gaft的使用方式都是相同的，这边我写了两个例子分别是优化有一个参数和两个参数的目标函数，更多参数可以通过在定义Individual的时候的给ranges再添加一个元素就好了，例如:
indv_template = BinaryIndividual(ranges=[(-2, 2), (-10, 2), (-10, 10)], eps=0.001)
population = Population(indv_template=indv_template, size=50).init()这样你就创建了含有三个变量的大小为50的种群
剩下的就可以通过定义你自己的适应度函数就好了，注意适应度函数需要返回一个float类型的返回值，方便gaft对适应度函数的值进行操作。
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Related Issues (20)
- 多进程运行大量重复参数 HOT 2
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