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I have installed the R project locally along with all of its packages. The nearest-neighbor and simulated annealing algorithms are working perfectly, but when trying to run the genetic algorithm, I ge…
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未定义函数或变量 'matrix'。
出错 canshu (line 7)
maxlen = size(matrix,2); %将组合最大长度作为染色体长度
出错 main (line 2)
canshu; %参数设置
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- [x] Optimal solution with brute force for small cases
- [ ] AAKZ20
Heuristic algorithms:
- [x] Random centers
- [x] Hill climbing
- [ ] Simulated Annealing
- [ ] Genetic Algorithm
- [x] Heuri…
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Somewhat inspired by #157, I think it would be good to define a clear philosophy/vision for PyVRP and include this in the docs.
Personally, I really like the idea of PyVRP providing a set of genera…
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Let's just share ideas about longest path strategies that may inspire algorithms, as the gradient-free methods (e.g. genetic algorithm) doesn't seem promising for this type of problem.
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There are now well-implemented frameworks for ion channel modeling that we can likely use with some modification. The primary packages to look into are [NeuroTune/Inspyred](https://neurotune.readthed…
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I see the possibility of using GAs with torchGA to optimize neural networks using genetic algorithms, but is it possible to use Pytorch instead of numpy arrays to speed up the computation time of GAs?
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From my basic knowledge on this subject, cross over between fit individuals is a crucial part on this algorithm, but I don't see the method on the Individual trait. Why was this choice made?
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```
The current mutation logic looks up all the warehouses given in the
"Problem" instance. 'True' genetic algorithms are only allowed to work with
the information given in the population. No informat…
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Is it possible to do neural network topology optimization with Pybrain?
For example network pruning such as optimal brain damage or finding the optimal topology with genetic algorithms?
If this is no…