Haploid vs. Diploid evolution. Please make more videos on this subject. Also, nice that you published negative results. They are under reported.
@weirdunclejames8775
3 жыл бұрын
Okay, why doesn't this have more views?
@sirrandalot
3 жыл бұрын
Probably the aLgOrItHm
@YoniMek
3 жыл бұрын
This channel has great potential. It will take some time, but keep it on and the views will come. 😁
@suborbitalmelon8822
Жыл бұрын
I do believe the algorithm bout to blow this channel up
@PDD555
Жыл бұрын
Don't know but KZitem just recommended this today. Here before this video blows
@Dragiux
Жыл бұрын
Because tards keep commenting WhY DoESnT THiS HavE moRe ViEwS
@h3rteby
Жыл бұрын
I think one usecase for recessive genes would be if you want a population with individuals specialized for different things, like some ant spieces, and to some degree humans. Though might still not be the most computationally efficient.
@adminka_331
Жыл бұрын
very interesting theme
@hizutoff127
Жыл бұрын
Got this recommended after 2 years, pretty interesting
@Hellscaped
Жыл бұрын
same
@ceorecdeclec9774
4 жыл бұрын
good video! might try to implement this...
@BanakaiGames
Жыл бұрын
Does crossover even serve a purpose in GA. I feel like mutation is almost always better, and the main purpose of crossover in the real world is for genetic variation (eg for disease resistance which wouldn't be a problem in a simulation) I'm not a biologist though or particularly experienced in GA just a thought from things I've read
@TheLoneWolfling
Жыл бұрын
Mutation gets stuck in local optima to a far greater extent than mutations + crossovers. If you're just looking to converge to the local basin, mutation is better. (Of course, in that case line searches are _also_ better, so...) The hope when doing crossovers is that you're working in a space where optimums in a few different dimensions at a time are correlated. Then when doing a crossover you have a decent chance of transplanting the entire strongly-correlated partial solution for piece A of the problem, into something else that has a partial solution for piece B of the problem. There are cases where mutation+crossover does asymptotically better than straight mutation, and significantly so. If you wish to play around with this a little more, consider the trivial case of a very high dimensional space where one is simply minimizing x1+ x2+...+xn, over [0, +1]^n, starting from a randomly-initialized vector. This toy example is actually tractable to exactly solve for both mutation-based and mutation+crossover-based solvers... and as it turns out the latter does far better. That being said, most of the time solvers like COBYLA do far better in practice.
@hartree.y
Жыл бұрын
Wow. What are the chances that I randomly stumble upon a topic of my current research paper? (I first found out about your channel through the 10-letter word square video) I'm currently experimenting with range expansions of diploid organisms. I'd like to clarify some points in the video: 1) I'll start with the scariest thing: you're basically using FOUR alleles in your simulation! Alleles are variations of genes - in your case "d0" and "r1". If we're talking humans, nearly all of our genes feature two alleles (more lead to complexity, and are unfavoured). So adding two alleles for a 'null' mutation, and another two alleles for an 'actual' mutation does not conceptually achieve what you intended. I believe, adding other loci (places for genes) with different effects is one approach (but depends on the model) 2) Even if we assume the four-allele genes, the reason the results don't differ much from the 'biallelic' case (where you would have three combinations: aa, Aa, AA) is that you limited the output to 0 and 1, in which case the only different outcome is "r1 r1 -> 1", which is the only combination that doesn't feature a dominant allele AND results in a 1. 3) A lot of the research I've seen does use diploid organisms, along with the most important functionality - genetic recombination (see e.g. "Expansion load: recessive mutations and the role of standing genetic variation", Peischl, 2015). That's the thing that allows the children in your simulation to express new genotypes Having said all that, I like the videos on your channel, and I like your inquisitiveness. Keep 'em coming!
@arshamshayan
Жыл бұрын
wow that's. Interesting, damn and the fact that it only has a thousand views, and only 8 comments is crazy
@12321dantheman
3 жыл бұрын
0.48 haha i feel this
@Irgendeinwer
Жыл бұрын
How is this 2 years old but only has 231 likes and 3.4K views?!?!?
@alansmithee419
Жыл бұрын
1:27 SNAGE
@logatichet
Жыл бұрын
2:03 i still dont know what the fuck is he talking about
@RikMaxSpeed
Жыл бұрын
Two years later: have you discovered anything more?
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