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您好,
使用geatpy做多目标优化时发现,在aimFunc()中设置 pop.ObjV 无效,设置方法类似 `pop.ObjV = np.zeros((pop.sizes, 3))`,(当然目标函数值实际是计算出来的)。初始化时已设置 `M=3, maxormins = [1, -1, -1]`,版本2.6.0
麻烦解答下
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Hi, thanks for the great package, I have a question:
how to print the progress of the algorithm?
as in the "GA" package for example
```
> library(GA)
> f lbound
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Hi!
First of all I want to apologize for my ignorance regarding this library. I just found out about it and I have little knowledge about how to use it.
I have the following situation:
- I h…
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In 'vega/vega/algorithms/nas/cars/nsga3.py':
...
Fs = []
for obj in objs:
Fs.append(NonDominatedSorting(np.vstack((1 / target, obj))))
Fs.append(NonDominatedSorting(np.vstack(…
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Hello,
I'm currently working with a problem where I have a dataset where I have 7500 data points and 3 features. I'm looking to find the pareto set of possible combinations of my 3 features, and th…
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I am playing around with NSGA2 and NSGA3.
I read the documentation which says use `sampling` as the parameter to initialize with a defined population.
Based on my test, the initial population su…
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get_algorithm() seems to work for ["brkga_cube", nelder_cube, cmaes_cube, pattern_cube]
However when I try any other (e.g. [nsga2_cube, nsga3_cube,\
rnsga3_cube, rnsga2_cube, unsga3_cube, moe…
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**Is your feature request related to a problem? Please describe.**
A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
**Describe the solution you'd like**…
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I am so excited to find this project but I cannot find a way to create a population.
My idea is to generate a population with 5 or more different characteristics.
For instance,
objective 1 - age
…
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**类似issue#47,但循环尝试可行染色体起作用位置不同,希望达到的效果不同**
issue#47 中,开发者给出了一种循环尝试初始化可行染色体的方法,在此基础上,我增加了部分代码,在初始化过程中去除离散变量重复的问题,使得初始解都可行且离散决策变量取值不重复。
实际运行中,经过几代进化之后,解集集中在某几个离散决策变量,导致解集种群多样性不够。
我的问题是,有没有方法在mo…