Genetic Algorithms in Python - Evolution For Optimization 

[17:08]: it's a binary state, you can keep it as simple as `genome[i] = not(genome[i])`

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Great video! I'm working more and more to optimize my work processes. And Never actually thought about using this. Thanks!

Again taking over Awesome town! THX

Thanks for sharing the concept

Csn you tell machine learning algorithms like candidate algorithm and decision tree algorithm

Great video, thanks!

10:42 that's a slick generator. ty vid

another interesting video. Thanks a lot :)

In mutate(), using arithmetic to do logic manipulatiosn is the kind of thing we used to do in the 1970s with primitive BASIC. I would suggest using the exclusive OR operator (XOR) - "^" .. or in this case, the XOR-assignment operator, "^=" ... """a OR b, but not both""" 0^0 -> 0 0 ^1 -> 1 1^0 -> 1 1^1 -> 0

Thanks you

how if the population is not binary state

The fitness values in the one max problem were off

do you think using PYGAD could make genetic algorithm easier ?

I'm not sure about the select_parent() function. You are going through the pool of candidates, cumulating their respective fitness, until you hit the first candidate who's cumulated fitness is bigger than some random threshold. How does that guarantee that a candidate with a bigger fitness is statistically more often chosen over a candidate with less fitness? Shouldn't be some type of sorting? I get the impression, the candidate pool is randomly sorted; we're randomly choosing a threshold point; and therefore randomly returning any candidate that just happens to be the first to cross the (cumulated!) threshold. WDYT?

I think game theory is interesting too

I think the reason why the fitness wasn't increasing was in the function select_parent(). While higher fitness individuals may have a better chance at reproducing, it isn't likely enough for them to reproduce

Wow❤❤❤

Please share the code.

moar of those!

Hi

You show interesting code, but you haven't tested it before, and are learning how it performs on-camera. How about spending an hour beforehand figuring out exactly what to show?