Solution_FItness array and solutions arrays are in different length.

[javid-b]

I am using pygad, for GA, to find combination of solutions which would satisfy conditions. I have got a code, which runs 15 generations with 40 populations. When GA stops running, the size of array is 640 where as array is 600. I am looking for a single array which would have solutions for all trials with fitness array next to it. However, i was expecting them to be equal. May be i am doing something wrong?

[urowietu]

Hello Javid-B

Just a speculative suggestion here from me.

You may think that 600 != 640 is a mismatch here. But, in fact, I think maybe when you say “40 populations” you mean n=40 competing algos in a generation?

Dividing 640 by 40 gives 15. So I suppose you have 15 “genes” and that 640 is the size of the whole “generation” of siblings.

It is just a thought. I hope this is the answer for you. If I wrong I apologise.

Best wishes

Keith

Sent from my iPhone

On 13 Sep 2021, at 08:23, javid-b @.***> wrote:

 I am using pygad, for GA, to find combination of solutions which would satisfy conditions. I have got a code, which runs 15 generations with 40 populations. When GA stops running, the size of array is 640 where as array is 600. I am looking for a single array which would have solutions for all trials with fitness array next to it. However, i was expecting them to be equal. May be i am doing something wrong?

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[javid-b]

Hi Keith, Thanks for response. I did not quite understood, why 640/40 would give 15? Yes, you are right i have got 15 genes and 40 competing algos in a generation. Regardless if it gives 600 or 640, my expectation would be that number of iterated solutions would be equal to number of fitness values. Sorry, if i am saying something non-sensible.

Regards, Javid

[urowietu]

I think I was talking nonsense and I’m sorry to have wasted your time. Either that or I was right and I have forgotten what I meant.

All best wishes, apologies,

Keith

On 16 Sep 2021, at 03:55, javid-b @.***> wrote:

 Hi Keith, Thanks for response. I did not quite understood, why 640/40 would give 15? Yes, you are right i have got 15 genes and 40 competing algos in a generation. Regardless if it gives 600 or 640, my expectation would be that number of iterated solutions would be equal to number of fitness values. Sorry, if i am saying something non-sensible.

Regards, Javid

— You are receiving this because you commented. Reply to this email directly, view it on GitHub, or unsubscribe. Triage notifications on the go with GitHub Mobile for iOS or Android.

[ahmedfgad]

Hi @javid-b,

Thanks for opening this issue. You are right as the fitness of the last population was not saved in the solutions_fitness list. This is solved by adding the next code at the end of the run() method.

if self.save_solutions:
    self.solutions_fitness.extend(self.last_generation_fitness)

The project will be updated soon and a new release of PyGAD will be published too.

Please let me know if you have any bugs or enhancements.