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Questions tagged [evolutionary-algorithms]

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how to calculate evolution change in percentage in a dataset compared to itself

scenario: lets say I have a table for number of customers visiting a shop per day. now I want to calculate that how much change has happened in terms of number of visitors throughout the past 30 days ...
sepisoad's user avatar
  • 113
1 vote
0 answers
10 views

Transitioning from "furthest" to "most reliable" in fitness function

I am trying to train an evolutionary algorithm to take 100 steps perfectly. I figure that in the early game I want to let each AI run once, then select the ones that went the furthest, but in the late ...
Alex Breeze's user avatar
2 votes
0 answers
32 views

Models for Long-Term Time-Series Forecasting and Pattern Recognition

I'm trying to find a solution for long-term electricity hourly prices forecasting. Explaining simply, I have some data from 2018 - 2021 containing Demand, Renewable Generation, Hydropower Generation, ...
Ircb's user avatar
  • 21
1 vote
0 answers
106 views

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 ...
João Bravo's user avatar
2 votes
1 answer
167 views

avoiding premature convergence with neural networks (EA's)

I am currently writing a program that would be able to play snake on an 25*25 grid. It works by optimizing a set of weights of 300 different solutions (each solution would be a different neural ...
Nick Stevens's user avatar
7 votes
2 answers
1k 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: ...
Roel Van de Paar's user avatar
2 votes
1 answer
126 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 ...
Lidor shimoni's user avatar
1 vote
2 answers
2k views

Differential Evolution optimal tolerance parameter

I am trying to optimize the parameters of a global optimization system for my set of data, because I will have a bunch of similar data to process so I need to fine tune the global optimizator so that ...
user421473's user avatar
1 vote
0 answers
482 views

Covariance-Matrix Adaptation Evolution Strategy (CMA-ES) implementation with Tensorflow Sequential model

After coming across this article about evolution strategies http://blog.otoro.net/2017/10/29/visual-evolution-strategies/, it seems clear that the Covariance-Matrix Adaptation Evolution Strategy (CMA-...
SuperCodeBrah's user avatar
4 votes
1 answer
85 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 ...
jlane's user avatar
  • 41
1 vote
2 answers
170 views

Is there any advantage in using Particle Swarm Optimization for clustering than K-Means?

I have read some paper about using particle swarm optimization. It doesn't look give much different result than K-Means. I tried to use PSO for clustering but the result is pretty much the same with K-...
NightFury's user avatar
1 vote
1 answer
42 views

Should I prevent individuals mating with themselves in EAs?

In evolutionary algorithms, should I always avoid individuals mating (crossover) with themselves? That is, should I prevent the selection algorithm from selecting a single parent twice to produce a ...
Jupiter's user avatar
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1 vote
0 answers
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Paper about AE-CNN is unclear. Deriving layers of dense blocks?

I am implementing the algorithm called Automatically Evolving CNN (AE-CNN). Some things aren't specified which makes it a bit hard to understand what the paper actually means to say. In the chapter 3....
Jupiter's user avatar
  • 123
1 vote
1 answer
553 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 ...
koolahman's user avatar
  • 111
1 vote
1 answer
809 views

What algorithm could be used to fuzzy merge multiple datasets?

Problem Description I have several tables that are related but do not share any unique key. I've come across this problem several times with customer data in separate source systems that needs to be ...
Jimmy Ruska's user avatar
0 votes
1 answer
832 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 ...
figs_and_nuts's user avatar