# 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 ...
• 113
1 vote
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 ...
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, ...
• 21
1 vote
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 ...
• 127
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 ...
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: ...
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 ...
1 vote
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 ...
1 vote
482 views

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 ...
• 41
1 vote
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-...
1 vote
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 ...
• 123
1 vote
25 views

### 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....
• 123
1 vote
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 ...
• 111
1 vote