I'm writing an algorithm to predict global average temperatures. I read an academic paper that used tree GP to solve the same problem. I already have a linear GP algorithm I wrote for something else that I'd like to recycle, but I'd also like to get the best performance possible out of the temperature algorithm.
Is there an advantage to using tree GP vs. linear GP and vise versa? Are there certain types of problems that are better suited to one representation over the other?
Genetic Algorithm (GA) libraries.
I am asking for c/c++ libraries.
I find the topic super fascinating! In some fictional universes like Star Trek it's largely frowned upon and those who have undergone it are shunned, while in other fictional universes like in 2312 by Kim Stanley Robinson or in Existence by David Brin it's widespread and constrained only by imagination and/or resource limitation. What are y'all's thoughts on the topic personally and within your own works?
Hi all. I'm currently studying biomedical sciences and I'm curious as to what you guys think would be the best programming to master if I want to alter cells and their molecular processes on a genetic level via coding.
Hello! I hope this isn’t too off topic, but I figured you guys are probably the best to ask. I’m currently working on a virtual pet sim project where users will be able to own pets, play with them, and breed them. I’d like the breeding system to be rather complex, where the children get their colours and markings from their parents, but I can’t find any relevant tutorials anywhere.
I’m working with Python, by the way.
I’ve read about genetic algorithms, but they’re all about optimising fitness. What I’m looking for has nothing to do with optimisation, and I can’t find anything that describes what I want to do. Does anyone here have experience with this type of breeding (where the user picks two pets to breed, and the offsprings’ traits are based on the parents), or know about any tutorial that would fit, or perhaps know of a better term instead of genetic algorithms?
I come from more of a programming background but I have dabbled in game design in the past. One of the hardest things I found was coding the enemy AI. However, yesterday I was thinking whether it would be possible to code an AI using genetic programming so that the difficulty increases up to an upper limit as the player advances through the game and the AI would then learn the player's play style. This would mean that the algorithm would only need to be coded once and I would avoid something like what happened in Cyberpunk where after a few hours you were pretty much invincible.
If this is possible, how would I go about doing it? Are there any tutorials on this already?
Do self selecting generic algorithms like those created by Eureqa have a place in the world now that we are obsessed with machine learning? https://en.wikipedia.org/wiki/Eureqa
According to http://www.genetic-programming.org/gpvideo1.html, there is a videotape for John Koza's 1992 book. Excerpt:
> Genetic Programming: The Movie by John R. Koza and James P. Rice > > Videotape Accompanying the 1992 Book Genetic Programming: On the Programming of Computers by Means of Natural Selection > > [...] > > This videotape accompanies the 1992 book Genetic Programming: On the Programming of Computers by Means of Natural Selection. This videotape provides a general introduction to genetic programming and a visualization of actual computer runs for many of the problems discussed in the book Genetic Programming: On the Programming of Computers by Means of Natural Selection. [...] > > [...] > > Published by The MIT Press
I tried MIT Press' website, but I could not find the video. I also tried Amazon, but the videotape is "Currently unavailable". How do I watch this video?
Hello, my name is Filip. I'm the founder of GenHub (https://genhub.co/) and I made a programming language for designing genetic circuits.
I am looking for synthetic biologists that will use my language in their research to prove it's viability. I'm looking for someone that actively uses genetic circuits in their experiments.
After the experiments are proven successful, we can extend our cooperation through a contract that benefits both of us. The terms can be discussed privately.
Can you bring back an extinct species if you know their genetic sequence already and build it with computer programming exactly the same, making a clone?
If all creatures and plants genetic info is sequenced, could things be brought back from extinction each time they inevitably do?
If "test tube baby" research is more researched, could species that can't be surrogated by a similar species be brought back?
I know this would never happen any time soon, probably the technology is hundreds of years in the future to read what amounts of what to add to the baby, but if we have the genetic sequences all figured out for future generations, definately I believe they could build and grow extinct species that are alive in our lifetime.
If it's possible to build a living cell and grow it similar to clones in korea, I'd look into these notes I made eriler;
(animal, plant would be probably harder, since you would need to build a whole seed)
-What is the mothers egg made up of? -How exactly does the egg connect to the mother? -How does the mothers system read what the baby needs? How can you imitate this with computer coding? -What amount of fluid is needed and at what stages? -What is the elemental composition of this creature and at each stage of life what do you need to add since the first DNA splits to birth and everything in between? -What is the body temperature whole pregnant? -How much and how often do you add nutrients/water/etc? -Does the mother directly share a body fluid to the baby during the pregnancy? DNA? Antibodies? Emzimes for digestion? -I believe a chicken or something with eggs is the best thing to start this research with, then move to others. Bugs are another good thing to start with. -Use the genetic sequence like Lego or IKEA instructions, build it with a computer program and technology we may or may not have yet, idk much about science just being honest.
An antilope "learning" to walk and run within minutes of being born.
A baby turtle seeking the waters.
A hatchlings outcry for food.
How is behavior like that hardcoding into the DNA/Brain?
And could this basic innert learning be preprogrammed to do other things? - A babys human recognize a smile or laugther. Could thies patern recognition abillities be tweaked to teach a fetus the alphabet before being born as an example?
I'm currently pursuing my masters in public health, with a concentration in epidemiology. My passion is really genetics, specifically, clinical genetics/ genetic counseling, but that's not a likely career path for me.
Given that, I'd still like to pursue something related to genetics in public health or research. With my interests, and in general, what are the most relevant programming languages I might learn for genetics?
Hey there,
for the last weeks I have been thinking about creating a system to generate and trade algorithms using genetic programming. I have a few ideas, but I will very likely not be able to create something like this myself.
So I thought about making it an open source project and collaborating with people with similar interests.
My general idea is, to create a backtesting engine for the generated algos using the LEAN Engine (https://github.com/QuantConnect/Lean) and wrapping it in a docker container.
Another service will be in charge of generation and coordination of algos and the backtesting containers.
For anyone interested in the topic, here is a very interesting paper on this topic: A real-time adaptive trading system using genetic programming
If anyone is interested on anything, leave a comment
I wrote a small library to evolve Flappy Bird through LGP. Made a small blog post and video about it. You can just skip to the video if you want to see results. Would love feedback on the blog, the study, etc...
Understanding Machine Learning is often a challenge for developers who lack a solid understanding of Maths and Statistics. Genetic Programming, however, is one of the few AI techniques that can be understood without any Maths. This tutorial is oriented to game developers, and introduces the concepts of evolutionary programming and genetic algorithms.
- Part 1. Theory
- Part 2. The Creature
- Part 3. The Genome
- Part 4. The Loop
- Downloads
A working Unity package is provided, with examples to evolve the AI of a ragdoll, a horse and a simple walker.
If you have any question, please do not hesitate do contact me. ♥
Hi all. I'm currently studying biomedical sciences and I'm curious as to what you guys think would be the best programming to master if I want to alter cells and their molecular processes on a genetic level via coding.
