All Questions
Tagged with fitness neural-network
8 questions
4
votes
2
answers
447
views
How to scale and weight fitness of a given values?
I'm working on a GA. My problem is as follows. I have a fitness function which takes a couple of values:
A - value which is huge, but less important for example 999999.
(weight of importance 30% ...
-1
votes
1
answer
264
views
Training on a fitness function
I am looking at FANN (Fast Artificial Neural Network) to create a neural network to drive a car around a track in a simulation.
It's possible to train on a fixed data set, but this isn't suitable for ...
0
votes
2
answers
599
views
Evolutionary Algorithm is not improving
Over the weekend I tried building a Neural Network, which improves using an evolutionary algorithm. I ran it for 5000 generations in the Cartpole environment of openai (https://www.openai.com/) but it ...
1
vote
1
answer
85
views
Fitness function for Ball and beam
I have problem to be solved and any constructive help would be good.
Anyway, I have to make genetic algorithm that creates neural network for solving problem Ball-and-Beam. Only fitness function ...
0
votes
1
answer
1k
views
Your fitness function must return a scalar value
I tried to perform an optimization using a neural network and the genetic algorithm. I trained a neural network with input p (4x72 matrix) and target t (2x72 matrix). Regrading the optimization using ...
1
vote
1
answer
190
views
fitness in inverted pendulum
What is the fitness function used to solve an inverted pendulum ?
I am evolving neural networks with genetic algorithm. And I don't know how to evaluate each individual.
I tried minimize the angle ...
2
votes
1
answer
2k
views
Issue in solving XOR using neural network and genetic algorithm
I'm trying to solve XOR problem using neural network. For training I'm using genetic algorithm.
But after a certain number of generations (200), the error stuck in 1. And the outputs are correct ...
1
vote
1
answer
1k
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Genetic algorithms: fitness function not working properly
I have a binary dataset of (m x n) m instances and n features with m >> n. And there is a target Variable or Class attribute, also binary. I want to do feature selection using genetic algorithm. I ...