Questions tagged [evolutionary-algorithms]
For questions about algorithms that exhibit characteristics of evolution in that the structure, form, or processes of that which is evolving incrementally improves, either by DNA mutation and selection, symbiosis, or other operations that can produce improvement.
91
questions
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0answers
21 views
OpenAI ES Taylor Second Order Derivative estimation for Newton–Raphson method
I am trying to estimate the second order derivate with vectorial form of taylor expansion for using Newton-Raphson method for some quadratic function optimization. I attached both first order and ...
1
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1answer
24 views
What is the difference between sensitivity analysis and parameter tuning?
I tried different values of genetic algorithm operators:
many crossover rates from 20% to 80%
many crossover rates from 1% to 20%
varying the population size
The study of different parameter values ...
0
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1answer
50 views
Isn't evolutionary theory the essence of intelligence after all?
The theory of evolution seems to be intelligent as it creates life
The mechanism of evolutionary theory consists of mutation, recombination, and natural selection like a genetic algorithm.
Isn't this ...
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0answers
25 views
Which 6-bit string would represent an optimal solution for trap-3 in the Linkage Learning Genetic Algorithm?
I am struggling to learn certain Evolutionary algorithm concepts and also relations between each of them. I am going through the Linkage Learning Genetic Algorithm (LLGA) right now and came across ...
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0answers
23 views
What are Trap-3 Trap-5 or Trap-1 in Genetic Algorithms?
I am taking this Evolutionary Computation class as a part of my college degree. I see a lot of "Trap", "Trap-1", "Trap-3" during the lectures. My professor is not doing a ...
0
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1answer
41 views
What are traps-3 in genetic algorithms
What are traps in genetic algorithms? Suppose you ran an sGA on trap-3 and examined the population midway through the run. Can someone explain what you would expect the population to look like?
1
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1answer
34 views
Choosing an AI method to recreate a given binary 2D image
If the title wan not very clear, I want a method to take an input image like this,
[[0, 0, 0, 0],
[1, 1, 1, 0],
[1, 1, 1, 0],
[0, 1, 1, 0]]
and output the 2D ...
0
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0answers
22 views
How are the step size and covariance matrix updated in CMA-ES?
I've been following the tutorial The CMA Evolution Strategy: A Tutorial to try and understand the CMA-ES, but I'm having trouble understanding how the step size and the covariance matrix are been ...
2
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0answers
60 views
NEAT can't solve XOR completely
I'm currently implementing the NEAT algorithm. But problems occur when testing it with problems which don't have a linear solution(for example xor). My xor only produces 3 correct outputs once at a ...
2
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0answers
30 views
Artificial life simulator that is fully embodied and passes open endedness tests
Geb is an alife simulation that as far as I know passes all of the tests we have tried to come up with in defining open endedness. However, when you actually run the code, the behavioral complexity ...
1
vote
2answers
57 views
What is meant by gene, chromosome, population in genetic algorithm in terms of feature selection?
I am trying to understand the genetic algorithm in terms of feature selection and these features are extracted using a machine learning algorithm.
Let's suppose I have data of heart rate for 3 minutes ...
1
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0answers
26 views
Crossover method for gene value containing a set of values
I have a chromosome where each gene contain s set of values. Like the following:
chromosome = [[A,B,C],[C,B,A],[C,D,],[],[E,F]]
The order in each gene values matters. (A,B,C is different to A,C,B)
...
2
votes
1answer
80 views
What is the difference between reinforcement learning and evolutionary algorithms?
What is the difference between reinforcement learning (RL) and evolutionary algorithms (EA)?
For some problems, you could presumably co-evolve two "species" populations using evolutionary algorithms ...
1
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0answers
30 views
How to effectively crossover mathematical curves?
I'm trying to optimize some reflective properties of curves of the form:
$a_1x^n+a_2x^{n-1}+a_3x^{n-2} + ... + a_n + b_1y^n+b_2y^{n-1}+b_3y^{n-2} + ... + b_n = 0$
which is basically the curve that ...
0
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0answers
40 views
If artificial neural networks are a special case of computation graphs, so maybe let's optimize computational graphs rather than neural networks?
Existing ANNs are so good for solving complicated tasks on a different domain of data. But creating a neural network is always a hassle and its success mostly relies on an engineer's intuition and ...
2
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0answers
130 views
How to select good inputs and fitness function to achive good results with NEAT for Icy Tower bot
I'm trying to make a bot to the famous "Icy Tower" game.
I rebuilt the game using pygame and I'm trying to build the bot using Python-NEAT.
Every generation a population of 70 characters ...
4
votes
1answer
69 views
What is the difference between evolutionary computation and evolutionary algorithms?
A book on evolutionary computation by De Jong mentions both the term evolutionary algorithms (EA) as well as evolutionary computation (EC). However, it remains unclear to me what the difference ...
2
votes
1answer
56 views
What are evolutionary algorithms for topology and weights evolving of ANN (TWEANN) other than NEAT?
I wonder, if there are other than NEAT approaches to evolving architectures and weights of artificial neural networks?
To be more specific: I am looking for projects/frameworks/libraries that use ...
4
votes
1answer
44 views
Are there any strategies that would help me visualize the 'behavior space' and make a novelty function?
In “Abandoning Objectives: Evolution through the Search for Novelty Alone”, it is explained how the novelty search is a function that is domain specific, depending on the differing behaviors that can ...
4
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2answers
103 views
What is the difference between genetic algorithms and evolutionary game theory algorithms?
What is the difference between genetic algorithms and evolutionary game theory algorithms?
2
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0answers
47 views
What is the difference between evolutionary game theory and meta-heuristics?
Here is a list of meta-heuristic algorithms
Ant colony optimization,
Ant lion optimizer,
Artificial bee colony algorithm,
Bat algorithm,
Cat swarm optimization,
Crow search algorithm,
Cuckoo ...
2
votes
3answers
231 views
What is the name of an AI whose primary goal is to create a better AI?
A general AI x creates another AI y which is better than x.
y creates an AI better than itself.
And so on, with each generation's primary goal to create a better AI.
Is there a name for this.
By ...
2
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1answer
40 views
How to calculate multiobjective optimization cost for ordinary problems?
What I did:
Created a population of 2D legged robots in a simulated environment. Found the best motor rotation values to make the robots move rightward, using an objective function with Differential ...
5
votes
1answer
100 views
Why evolutionary training of neural networks is not popular?
Evolutionary algorithms are mentioned in some sources as possible to be used to train a neural network (finding weights, not hyperparameters), however I have not heard about one practical application ...
4
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0answers
76 views
Why isn't the evolutionary Turing machine mainstream?
Given that recurrent neural networks are equivalent to a Turing machine, then why isn't the evolutionary Turing machine, e.g. described in the paper Evolution of evolution: Self-constructing ...
1
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0answers
24 views
Is there a rule-of-thumb to determine which behaviours must be learned in a lifetime and which innate?
I was training an AI to learn things during its lifetime such as find food and navigate a maze. Behaviors that might change during its lifetime.
But I hit upon a snag. Some behaviors, like avoiding ...
1
vote
0answers
41 views
How can I solve the linkage problem in genetic algorithms?
In a genetic algorithm, the order of the genes on a chromosome can have a significant effect on the performance (capacity to generate adaptation) of the genetic algorithm, where two or more genes ...
2
votes
1answer
78 views
Can we automate the choice of the hyper-parameters of the evolutionary algorithms?
Certain hyper-parameters (e.g. the size of the offspring generation or the definition of the fitness function) and the design (e.g. how the mutation is performed) of evolutionary algorithms usually ...
2
votes
1answer
346 views
Is there any research work that attempts to combine neuroevolution with deep reinforcement learning?
Neuroevolution can be used to evolve a network's architecture (and weights, of course). Deep reinforcement learning, on the other hand, has been proven to be extremely powerful at optimising the ...
1
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0answers
159 views
Exploding population size in neat-python
I am trying to make my AI win the board game "Catan" against my friends.
Therefore i am using the python implementation of NEAT.
As I changed the values of ...
1
vote
0answers
32 views
What qualifies as 'fitness' for a genetic algorithm that minimizes an error function?
Suppose I have a set of data that I want to apply a segmented regression to, fitting linearly across the breakpoint. I aim to find the offsets and slopes of either line and the position of the ...
2
votes
1answer
312 views
Can we evolve 0 and 1?
Is it possible to combine or create conditional statements of 0 and 1, and optimize with an evolutionary algorithm (given that all computers use a binary system)?
There may be an algorithm that maps ...
2
votes
2answers
107 views
How to reduce amount of species in NEAT?
I am using the following library:
https://github.com/vishnugh/evo-NEAT
which seems to be a pretty simple NEAT-implementation.
Therefore I am using the following Config:
...
0
votes
0answers
48 views
How do I choose an appropriate fitness function and hyper-parameters to train a 7-DOF arm?
I am trying to train an ANN to control a 7 Degrees-Of-Freedom arm. It should reach a target avoiding a single obstacle. Given my modeling of the situation, my input layer is composed of 12 nodes:
5 ...
3
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0answers
21 views
Shortest route GA: One loop through one dataset vs multiple loops through subsets of the same data?
I've a rather simple question for a school project. We're developing a GA solution for the following problem:
Chromosome: A location with lat-lon coords. There are two types of locations - up to 15 ...
1
vote
1answer
74 views
Is there a reason evolutionary algorithms are language-bound in research material?
I've been working on genetic algorithms & evolutionary strategies for a while now in a research context. Across the vast majority of the articles and content I've read, every single one of them ...
5
votes
3answers
303 views
Can neural networks evolve other neural networks?
Can neural networks change or evolve other neural networks? Also, could evolutionary algorithms be applied to evolve neural networks?
For example, suppose that we have neural networks A and B. The ...
1
vote
1answer
79 views
How can I calculate the shortest route between two 2d vector points with obstacles?
I have a 2D plane, with a fixed height and width of 10M. The plane has a robot in the point (1,2.2), and an electric outlet in the point (8.2, 9.1). The plane has a series of obstacles like polygons ...
3
votes
1answer
57 views
How accurate are neuroevolution algorithms in modelling organism evolution?
How accurate are neuro-evolution algorithms (such as NEAT) in modelling real organism evolution?
2
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0answers
38 views
Can neuroevolution be used for solving tasks other than games?
I'm seeing a lot of examples of neuroevolution techniques involving games or robot problems. Can neuroevolution be used for solving tasks other than games? For example, how could you transform a CSV ...
0
votes
1answer
37 views
How to shape the weights or nodes during gradient training of neural network? Training with constraints?
Gradient training changes indiscriminately all the weights and nodes of the neural network. But one can imagine the situations when the training should be shaped, e.g.:
One can put constraints on ...
4
votes
1answer
516 views
How to design an AI that discovers more complex concepts on its own?
How would I go about designing a (relatively) simple AI that discovers and invents random more complex concepts on its own?
For example, say I had a robot car. It doesn't know it's a car. It has ...
2
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1answer
163 views
Can NEAT produce neural networks where inputs are directly connected to outputs?
Can NEAT produce neural networks where inputs are directly (without intermediate hidden neurons) connected to outputs?
3
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2answers
97 views
Why do we apply the mutation operation after generating the offspring?
Why do we apply the mutation operation after generating the offspring, in genetic algorithms?
7
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3answers
2k views
How to create a good fitness function?
In genetic algorithms, a function called "fitness" (or "evaluation") function is used to determine the "fitness" of the chromosomes. Creating a good fitness function is one of the challenging tasks in ...
2
votes
1answer
87 views
How can a genetic algorithm adapt and get better in a changing environment?
I've just started studying genetic algorithms and I'm not able to understand why a genetic algorithm can improve if, at each learning, the 'world' that the population encounters change. For example, ...
5
votes
4answers
4k views
What is the difference between “mutation” and “crossover”?
In the context of evolutionary computation, in particular genetic algorithms, there are two stochastic operations "mutation" and "crossover". What are the differences between them?
2
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0answers
321 views
How Swarm Intelligence can empower Blockchain?
Are there examples of applications in blockchain consensus using swarm intelligence, as opposed to classical consensus mechanisms like PoW or PBFT?
Please note that recent classical consensuses, ...
1
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1answer
263 views
Some RL algorithms (especially policy gradients) initialize with random policies, which often manifests as random jitter on spot for a long time?
I am reviewing a statement on the website for ES regarding structured exploration.
https://blog.openai.com/evolution-strategies/
Structured exploration. Some RL algorithms (especially policy
...
1
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0answers
1k views
NEAT + Keras : reproducibility problem (World Models implementation)
I'm trying to apply the World Models architecture to the Sonic game (using the gym-retro library).
My problem concerns the evolutionnary algorithm part that I use as the controller (worldmodels = ...
