Comments (5)
I have the same problem. I think random_climb
, random_hill_climb
, and simulated_annealing
should use get_fitness
instead. genetic_alg
and mimic
still uses get_pop_fitness
as implemented.
get_fitness
returns the fitness value of the current state.
get_pop_fitness
returns the fitness values of the states of the current population. "Population" is only relevant in mimic
and genetic_alg
, I believe.
I'll make a quick fix to see how that goes.
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random_climb? or hill_climb? I think hill_climb should have implemented it correctly from what I see? And yeah, SA should be updated with the same fix.
Oh and I also made a pull request so you can check it with that fork. I verified that it works...so far!
from mlrose.
Yeah, you're right. hill_climb
had it correct already.
from mlrose.
Ahh I also made the same PR. 😄 I'll close mine.
from mlrose.
I have just merged @nibelungvalesti 's pull request that fixes this issue, so am closing this.
Thanks to @nibelungvalesti and @daivinhtran for pointing it out.
Regards,
Genevieve.
from mlrose.
Related Issues (20)
- GA for NN incorrect HOT 2
- Six Peaks Opt HOT 3
- unable to set state vector lower bound? HOT 1
- Why do genetic_alg and mimic not support 'init_state' parameter? HOT 1
- bug for mutation_probability in genetic algorithms HOT 3
- Question on inital states for GA and MIMIC HOT 1
- Support for asymmetric TSP HOT 1
- Randomized Hill Climbing improvement HOT 1
- ImportError: cannot import name 'six' from 'sklearn.externals' HOT 1
- TSPopt()- genetic_alg- Malfunction in max_attempts
- Fast MIMIC Fails TSPOpt
- ImportError: cannot import name 'six' from 'sklearn.externals' HOT 1
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- GA probability of selecting parents incorrect
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