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.
80
questions
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0answers
17 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
votes
0answers
29 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
votes
0answers
102 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 tries to ...
4
votes
1answer
55 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
44 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
34 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
85 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
40 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
223 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
votes
0answers
27 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
88 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 ...
-3
votes
1answer
91 views
Easy way to create Strong AI [closed]
If you have a hard time researching artificial intelligence filled with fog.
just by increasing computational power of computer and running evolutionary algorithm,
you can get an Strong AI
...
-3
votes
3answers
250 views
Evolutionary neural architecture?
I'm working on an idea for an AI architecture, and would like to know if there are any apparent flaws, or if there is prior work in this vein.
Set I/O so that the neural network can read and write ...
4
votes
0answers
69 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
vote
0answers
21 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
39 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
73 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
2answers
248 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
vote
0answers
123 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
30 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
304 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
77 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
43 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
votes
0answers
18 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
72 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
291 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
66 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
52 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
votes
0answers
37 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
34 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
497 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
votes
1answer
130 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
votes
2answers
93 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
votes
3answers
1k 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
74 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, ...
4
votes
4answers
3k 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?
1
vote
1answer
280 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
vote
1answer
178 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
vote
0answers
942 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 = ...
1
vote
1answer
50 views
What is the difference between the study of Evolutionary algorithm vs. Optimization?
I have a course named "Evolutionary Algorithm". But, our teacher is always mentioning the word "Optimization" in his lectures.
I am confused. Is he actually teaching Optimization? If yes, why is the ...
6
votes
2answers
136 views
Evolving network in game
So I wrote simple feed forward neural network that plays tic-tac-toe:
9 neurons in input layers: 1 - my sign, -1 - opponent's sign, 0 - empty;
9 neurons in hidden layer: value calculated using Relu;
...
6
votes
3answers
503 views
More effective way to improve the heuristics of an AI… evolution or testing between thousands of pre-determined sets of heuristics?
I'm making a Connect Four game where my engine uses Minimax with Alpha-Beta pruning to search. Since Alpha-Beta pruning is much more effective when it looks at the best moves first (since then it can ...
2
votes
1answer
531 views
What is the order of the genetic operations in NEAT?
I was trying to implement NEAT, but I got stuck at the speciating of my clients/genomes.
What I got so far is:
the distance function implemented,
each genome can mutate nodes/connections,
two ...
3
votes
4answers
1k views
AI applications of the Fibonacci series
I have been looking at Fibonacci series, the golden ratio and its uses in nature, like how flowers and animals grow based on the series.
I was wondering whether we could use the Fibonacci series and ...
3
votes
1answer
81 views
Is there a way to predict points on a map?
I have a data set with historical information of some events (let's say event A and event B),these events describe the discovery of land mines, the coordinates of the event and the date of the event; ...
1
vote
0answers
38 views
Crossover in differential evolution for separable and non-separable functions
This article "Enhancing Differential Evolution Utilizing Eigenvector-Based Crossover Operator" said for a non-separable function traditional crossover algorithm are not suitable and they can not ...
4
votes
5answers
1k views
How to evaluate a NEAT neural network?
I'm trying to write my own implementation of NEAT and I'm stuck on the network evaluate function, which calculates the output of the network.
NEAT as you may know contains a group of neural networks ...
5
votes
1answer
2k views
Several questions regarding the NEAT algorithm
I've recently read the paper Evolving Neural Networks through Augmenting Topologies which introduces NEAT. I am now trying to prototype it myself in JavaScript. However, I stumbled across a few ...
4
votes
2answers
414 views
What's the difference between biological and artificial evolution?
I am trying to understand the difference between biological and artificial evolution. If we look at it in terms of genetics, in both of them, the selection operation is a key term.
What's the ...
2
votes
1answer
670 views
How are connection weights “perturbed”?
I am reading through the NEAT paper here. On page 14 of the PDF, there is this quote about mutation:
There was an 80% chance of a genome having its connection weights mutated, in which case each ...
