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From: | D X |
Subject: | Re: [Gneuralnetwork] Genetic Algorithm on version 0.6.0 |
Date: | Sat, 26 Mar 2016 09:12:07 -0500 |
Hi JM,
I did more tests this morning, I found the old one (we call it GA1) are very easy to get local minimum, strong related to random sequence. the new one (we call it GA2), when we run GA2, the error is always getting smaller, but it is slower and slower. followings are more detail: 1. we set eps is 0.0001 and neither of these GA can reach or less then this error. 2. GA1 is highly related to the random sequence, when I changed the random generator, the result of GA1 are variable and unstable. but usually it cannot find less error after 10 generations. 3. GA2 are more stable. it always close to less error even you make 100K generations, and when I change the random generator, result is kind of unchanged. always goes to 0.08454...., but the speed it getting slower, which is what we expected. 4. when I change random generator, GA1 may have chance to get less error (0.05....) and worse error(1.0....), but GA2 always goes to about 0.08454...., which is still better than the result of SIMULATED_ANNEALING I prefer use GA2, but GA2 needs improvement on crossover. it might have some issues make GA2 can not get global min solution. please let me know if you have any questions, Thanks, Github: https://github.com/cxxaddict Nan. Date: Sat, 26 Mar 2016 08:58:52 +0100 Subject: Re: [Gneuralnetwork] Genetic Algorithm on version 0.6.0 From: address@hidden To: address@hidden CC: address@hidden; address@hidden Hi Nan, Thank you so much for improving this method so quickly! I will review it and put it in the next release (which should be online very soon hopefully). Could you please elaborate on point 4 though? What do you mean by "the solution found by this GA actually is not as good as the old one, but it is still valuable"? Does your method struggle more than the old one to reach some global/local minimum? Many thanks in advance for this further explanation. Thanks again for contributing to this project! JM 2016-03-26 4:20 GMT+01:00 D X <address@hidden>:
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