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guofei9987 avatar guofei9987 commented on May 15, 2024

感谢建议, 可以出这个模式。
#15 解决的是同时有 0/1 和浮点数的混合规划问题。
看来需要更加泛化,解决整数+浮点数混合规划问题。

预期逻辑如下:

  • 如果 x[i] 有 2^n 种取值,那么直接用 ub,lb的逻辑,
  • 否则,自动生成一个不等式约束。

from scikit-opt.

guofei9987 avatar guofei9987 commented on May 15, 2024

@xenv
enjoy!

def obj_func(p):
    x1, x2, x3 = p
    return -x1 - x2 - x3


constraint_eq = [
    lambda x: 0 if x[0] == x[1] else 1
]

from sko.GA import GA

ga = GA(func=obj_func, n_dim=3, size_pop=50, max_iter=800, lb=[0, 0, 0], ub=[3, 4, 7],
        constraint_eq=constraint_eq, precision=[1, 1, 1e-7])

best_x, best_y = ga.run()
print('best_x:', best_x, '\n', 'best_y:', best_y)

print:

best_x: [3. 3. 7.]
best_y: -13.0


代码逻辑:

如果某个变量的 precision 是整数,自动识别出是整数规划。

from scikit-opt.

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