Questions tagged [genetic-algorithms]

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Stack as many industrial components as possible in a crate

The exact problem is a crate of industrial parts, made by injection molding in very high quantities. The objective is to put as much parts as possible in one crate. This is done by a small robotic arm ...
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8 views

Genetic Algorithm Optimization of RF Model

I am working on a problem set in which I have "Cost Per Click" and "Day of the week" as independent variables and "Profit" as dependent variable. I want to use this ...
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Using Genetic Algorithms to create SSDP packets

for a part of my project we have to create request packets for dns, ssdp and ntp protocols. My professor has said to use genetic algorithms to come up with the field values for the request packet the ...
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24 views

Finding function minima by neural network

I'm looking for articles that use neural network as genetic algorithms and solving optimisation problems by it. Any reference are welcome, books, lectures, YouTube, etc. Basically I'm looking for ...
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Best way to optimize problem with additively separable fitness function?

I am using a genetic algorithm to maximize a few hundred thousand real-valued variables. Each of the variables, $x_i$, has its own independent boundary condition. The fitness function uses each of ...
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Framework for Genetic Algorithms on python [duplicate]

I'm trying to use a framework implemented in python to use GA (Genetic algorithms) and other related algorithms . But I'm not sure about what framework to use, I've found two interesting options Pymoo ...
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1answer
42 views

Which Algorithm did OpenAI used to create a hide and seek playing Agent?

I just saw this video on youtube: https://www.youtube.com/watch?v=kopoLzvh5jY&t=9s Which Algorithm did OpenAI used to create a hide and seek playing Agent? Was it Genetic Algorithm or Policy ...
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1answer
99 views

Are there any tree-based models that use a genetic algorithm to generate the trees?

I have a large dataset (195 features x 20m samples) that I have trained using XGBoost. I would like to see if a genetic algorithm can beat XGBoost since the data has so much noise it is prone to ...
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1answer
36 views

On what principle did Google's DeepMind learn to walk?

I just saw this video on Youtube. On what principle did Google's DeepMind learn to walk? Was it Q-Learning or a Genetic Algorithm or Policy Gradient?
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37 views

Drug Making Using Genetic Algorithms

I want to create a drug using N different chemicals for fighting a bacterial infection those N chemicals are contained inside the drug in different quantities my work environment is a simulated one ...
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2answers
48 views

Why use gradient descent on Deep Nets / RNNs when cost function is not convex?

Why do we use gradient descent on very non-convex loss functions such as in Deep nets / RNNs rather than a heuristic search (genetic algorithms, simulated annealing, etc)?
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42 views

Good chromosome representation in a VRPTW genetic algorithm

I have a genetic algorithm for a vehicle routing problem with time windows and I need to implement certain modifications. I am not sure what would be the best chromosome representations. I have tasks ...
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1answer
99 views

use genetic algorithm as a feature selection for text classification

how to apply the genetic algorithm as a feature selection for text classification in python I need to use GA to select most relevant feature in text classification
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192 views

Creating a generic mathematical formula using a genetic algorithm

Assuming all of the following; I have 4 known numbers, all within a 0-400 range, like this: ...
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79 views

Parameter initialization in a genetic algorithm

I'm using a neural network in a genetic algorithm. The neural network has 4 inputs (values between 0 and 1) and ...
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1answer
66 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 ...
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1answer
91 views

How do I use matrix math in irregular neural networks such as those generated from neuroevolution (NEAT)?

I understand how to structure the matrix when every node in a layer is fully connected to every node in adjacent layers and I understand that in "irregular" neural networks I can just process each ...
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Basket items optimisation minimising constraints

I have a real problem (not home work) when I have to distribute an ordered list by position to respect some constraints eg. 1. 11 2. 15 3. 18 4. 18 5. 1 baskets:...
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optimize integers using GA package

The GA package is a great package to use Genetic Algorithm for optimization. See for example this. I have a use case, where my possible values are integer (e.g. 1, 2, 4 ...). So far, I simply rounded ...
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19 views

Genetic Optimization, Heuristic regarding choosing the number of generations and population size

I have a simple model with some fitness function that I'm trying to max out. This model have ~20 variables, each about ~15 options. Is there a heuristic formula or a study of some sort that can guide ...
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Ising Spin Glass - Optimization

I'm a newbie researcher working on model-based genetic algorithms, mainly linkage learning in both discrete and continuous spaces, using data modeling. I would like to ask you about Ising Spin Glass (...
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1answer
59 views

Genetic algorithm only using selection

Suppose you have a population of N individuals with fitness 1, 2, . . . , N (i.e., all individuals have a unique fitness value). Suppose you repeatedly apply ...
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1answer
52 views

Why GA convergence curves continue as two parallel lines?

I'm working on a optimization problem and using GA algorithm (in MATLAB, ga function). As you know MATLAB plots GA result with two curves, one for the best values and other to show the mean values ...
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2answers
45 views

Universal function approximation with fixed values (as vector or matrix)

I was thinking about way to represent/approximate universal function and came up with the idea that a plain fixed numbers could be used to represent pretty much any function on a fixed interval. I ...
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Genetic algorithms(GAs): to be considered only as optimization algorithms? Are GAs used in machine learning any way?

As a quick question, what are genetic algorithms meant to be used for? I read somewhere else that they should be used as optimization algorithms (similar to the way we use gradient descent to optimize ...
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1answer
57 views

Genetic algorithms: what connection to support vector machine / naive bayes

I found the following list of seven classifiers: Linear Classifiers: Logistic Regression, Naive Bayes Classifier Nearest Neighbor Support Vector Machines Decision Trees Boosted Trees Random ...
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24 views

Will it be more computationally expensive to have multipl 2d tensors or 1 3d tensor

Odd question but I am busy creating a Genetic Algorithm that optimizes the weights on a Neural Network instead of using good old fashion 1st-order optimization (Gradient/Adam) What I have is x as a ...
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74 views

Mutation on demand in genetic algorithms

genetic algorithm usually use a "mutation rate" to control the rate of chromosome mutation. Most of the researchers at researchgate recommend to keep this rate low in order to converge quickly, to be ...
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2answers
1k views

Python metaheuristic packages

I need to use a metaheuristic algorithm to solve an optimization problem on a Python codebase. Metaheuristics usually need to be written in C++ or Java as they involve a lot of iterations, while ...
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679 views

What should I study to find optimal value of best feature combinations in machine learning?

I would like to do production optimization with machine learning and/or optimization problem. My goal is not to find minimizing loss in loss function only to give the best y value. My ultimate goal ...
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1answer
72 views

What's the correct form of use the real coded genetic algorithm?

I'm new to genetic algorithms, but I haven't found specific info about real-coded GA's. I want to do antenna array optimization by using the real values of antenna position, phase, and amplitude, but ...
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1answer
285 views

What makes a problem good for an evolutionary strategy vs a genetic algorithm vs particle swarm optimization?

I understand that evolutionary strategies (ES), genetic algorithms (GA), and particle swarm optimization (PSO) are all algorithms used to solve optimization types of problems, but what might make an ...
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73 views

In which cases should Genetic Programming be preferred over Artificial Neural Network trained with Genetic Algorithm

I am trying to understand Genetic Programming (GP) but I cannot think of any context where GP can be chosen over training Artificial Neural Networks with genetic algorithms. What problems each of ...
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1k views

Why aren't Genetic Algorithms used for optimizing neural networks?

From my understanding, Genetic Algorithms are powerful tools for multi-objective optimization. Furthermore, training Neural Networks (especially deep ones) is hard and has many issues (non-convex ...
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1answer
349 views

What is new population in genetic algorithm?

Here is my (mis?)understanding of genetic algorithm: Create n individuals. This is initial population Calculate fitness of each individual in this population ...
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659 views

Neuroevolution library/framework with GPU CUDA support

I'm looking for working library/framework allowing you to use neuroevolution algorithms like NEAT with GPU support (CUDA). Are there any working libraries? I know about AccNEAT library but I couldn't ...
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Is deduction, genetic programming, PCA, or clustering machine learning according to Tom Mitchells definition?

Tom M. Mitchell defines machine learning as A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P if its performance at tasks in T, ...
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2k views

Is it possible to use NEAT networks for solving video games?

Sorry to start such an unspecific question, but I am slightly lost in the big topic. My tutor proposed to chose neural networks for my final project, and we started by building a CNN for detecting ...
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1answer
5k views

How do I find the minimum value of $x^2+y^2$ with a genetic algorithm?

I want to find $(x,y)$ which minimizes $x^2+y^2$ with GA to apply it for another function. Does anyone know any example of GA with deap (Python) like that?
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Gene innovation numbers in NEAT implementatoins

In NEAT (neuroevolution through augmenting topologies) algorithm description, an innovation number, e.g. id, is assigned to each gene so that genomes can be crossed over meaningfully: genes having ...
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4k views

Can I have a neural network output values >100?

All the samples and articles i have seen are all having outputs of 1 or less. Is there a hidden reason why no one is using NN to produce higher value integers?? My situation is that I want NN to ...
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459 views

Genetic neural network to satisfy variable number of inputs and outputs

I have what I propose as a solution to my problem, however I haven't ever seen it mentioned in this way, so I worry that there is a valid reason not to do things this way. I have a dataset of > 100,...
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How effective is Genetic Algorithm for finding Attribute-Value relationships

I am implementing a module which finds based on user interactions on an online portal to find which attributes of a certain product and what values for those products influence the buyer to choose the ...
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1answer
463 views

selecting sample from population using genetic algorithm

I have a set of 31390 individuals with an associated weight (kg) and I want to select a number of them such that the maximum weight is 3000kgs and that the weight distribution around several variables ...
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662 views

Checkers playing Neural Network evolved with Genetic Algorithm becomes too sensitive to input data changes

I recently embarked on a very ambitious project and I have to say it has turned out a lot better than I expected, I succeeded in coding from scratch a neural network that plays checkers at a very ...
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4answers
6k views

Which book is a standard for introduction to genetic algorithms?

I have heard of genetic algorithms, but I have never seen practical examples and I've never got a systematic introduction to them. I am now looking for a textbook which introduces genetic algorithms ...
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8k views

What is the One Max Problem in detail?

I am looking a python lib named deap, but stuck at beginning. The first paragraph says: The problem is very simple, we search for a 1 filled list individual. ...
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112 views

Algorithm for rule set optimization

I have hand writed classifiers (there are a lot of them). It's implemented as collection of rule sets IIF - THEN. I want to optimize the % of errors. There some ...
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3answers
1k views

Understanding genetic algorithms

What is a genetic algorithm, and what are its practical advantages over other algorithms? Is it similar to any commonly used machine learning algorithm like linear/logistic regression, neural networks,...
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15k views

Simple example of genetic alg minimization

I have been looking for a while for examples of how I could find the points at which a function achieves its minimum using a genetic algorithm approach in Python. I looked at DEAP documentation, but ...