Stack Overflow
Stack Overflow

Questions tagged [pygad]

Genetic algorithm and ML library that supports Keras & PyTorch.

23 questions
3
votes
1 answer

PyGAD: How to constrain genes to sample set without replacement?

Suppose I have an assignment problem where I need to assign riders to seats. I need to enforce the constraint that at most, one rider is assigned to any given seat and every rider is assigned one seat. Linear programming offers a means to articulate…
jbuddy_13
  • 902
  • 2
  • 12
  • 34
3
votes
1 answer

PyGAD is not receiving integer parameters according to documentation

I am trying to use PyGAD to optimize hyper-parameters in ML models. According to documentation The gene_space parameter customizes the space of values of each gene ... list, tuple, numpy.ndarray, or any range like range, numpy.arange(), or…
jbuddy_13
  • 902
  • 2
  • 12
  • 34
2
votes
2 answers

TypeError: can't multiply sequence by non-int of type 'GA'

I am making a Genetic Algorithm(GA) in python with pygad, but I keep getting this error: TypeError: can't multiply sequence by non-int of type 'GA' here is my whole code: import pygad import numpy print(pygad.__version__) inputs =…
R1B07008
  • 33
  • 5
2
votes
0 answers

Avoiding zero-valued gene using pygad

I am optimizing a function with 3 parameters according to experimental data. I defined a value space for the genes: gene_space=[np.linspace(0.6,0.8,100), np.linspace(0.1,0.2,100),np.linspace(34,35,1000)] and this is my general configuration: …
Raúl Lazo-Molina
  • 21
  • 1
2
votes
1 answer

Genetic Algorithm with PyGAD

I'm trying to make a genetic algorithm with PyGAD to find the best value that maximize this function: Z = (3*(x^2 - y)^2 + (100 - x)^2) + (y- x) , x and y between [-4, 4]. Could someone send me an example of something similar to this function? The…
Thorsen
  • 53
  • 5
1
vote
0 answers

PYGAD how to debug the built-in parent selection method

I am using PYGAD GA module to write a genetic programming, I want to use the tournament selection for my parent matching, I do not known how to use print() to debug the parent selection method, here is my code: import numpy as np import pygad def…
Cn Hu
  • 57
  • 6
1
vote
1 answer

Multi-objective optimization with PyGAD - maximin algorithm

I have a multi-objective optimization problem for which I would like to use the PyGAD library. I would like to use the maximin algorithm for multi-objective optimization, but in order to do so I need access to the fitness values of each other design…
Ryan Larson
  • 23
  • 3
1
vote
0 answers

PYGAD issue with Parallel Processing

I am using PYGAD for optimizing parameters for a backtrading strategy. It switches from using multiple threads to single threads every generation. I am confused as to why. It was working perfectly fine previously. I changed the mutation_type to…
thecodeman
  • 49
  • 5
1
vote
0 answers

Why am I getting NaN returned from the categorical_crossentropy which causes an index error when using pyGAD for optimizing a keras ANN parameters?

I've been trying to implement a GA to optimize the parameters of my ANN. I'm new to both of these libraries and I've used this as help to implement it https://blog.paperspace.com/train-keras-models-using-genetic-algorithm-with-pygad/. I'm…
Illuminy
  • 11
  • 1
1
vote
1 answer

How do i scale my fitness values? (using PyGAD)

As the title says, i want to use fitness scalling methods, such as sigma scalling, for i'm having problems with premature genetic conversion in non-optimal solutions. I know that PyGAD has a on_fitness method that is called after the fitness values…
yna ponte
  • 41
  • 5
1
vote
1 answer

PyGAD - how to create solution which will return me list of 0 and 1

I'm experimenting with pygad. Have created initial population of lists of 0 and 1: llist = [[random.randint(0,1) for _ in range(40)] for _ in range(10)] my fitness functions does simple sum(solution) I'm trying to create model which will evolve…
Bill
  • 63
  • 5
1
vote
0 answers

Why is my genetic algorithm not improving?

The fitness output is always 0 when my genetic algorithm is training. This should be normal at first but it does this for the entire duration of the training and does not improve at all. I have the training of the genetic algorithm set up so that it…
BennyC20
  • 13
  • 3
1
vote
0 answers

How to solve multiple knapsacks problem with genetic algorithm using PyGAD?

I'm trying to solve the multiple knapsacks problem (MKP), in which I want to fit n items into m containers (knapsacks). Items have their weights and knapsacks capacity that they can hold. I decided to solve it with genetic algorithm in Python using…
Artur
  • 31
  • 1
  • 5
1
vote
0 answers

How to cross validate ML hyperparameters with genetic algorithm PyGAD?

I'm trying to use the Genetic Algorithm library, PyGAD to cross validate hyper-parameters in non-DL machine learning applications. Data generation ## Create synthetic data f = np.vectorize(lambda x: int(x>0.5)) X = np.random.uniform(low=0, high=1,…
jbuddy_13
  • 902
  • 2
  • 12
  • 34
1
vote
1 answer

How to get the gene values for each solution with pygad?

I'm having a problem with pygad. My goal is to minimize the volume of a structure using the Ansys program. The Ansys code should read an input file, where I'm trying to write the values of the genes (project variables) for each evaluation of the…
André Victor Castilho
  • 11
  • 2
1
2