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Quiz: Algoritmos Genéticos

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Quiz: Algoritmos Genéticos

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About this activity

Conceptos básicos de GA

Created by

Mauro Lomeli Muñoz
Mauro Lomeli Muñoz
Mexico

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Quiz: Algoritmos Genéticos
 

Quiz: Algoritmos GenéticosOnline version

Conceptos básicos de GA

by Mauro Lomeli Muñoz
1

¿Qué representa una población en un algoritmo genético?

2

¿Qué es un cromosoma en GA?

3

¿Qué mide la función de aptitud?

4

¿Qué proceso describe la selección en GA?

5

¿Qué hace el cruce (crossover)?

6

¿Cuál es el objetivo de la mutación?

7

¿Qué significa convergencia en GA?

8

¿Qué propone la hipótesis del bloque constructor?

9

¿Qué es la codificación binaria en GA?

10

¿Qué son las aplicaciones de GA?

Explicación

La población contiene las soluciones posibles que evolucionan durante las iteraciones.

El cromosoma codifica una posible solución de la población.

La aptitud asigna un valor que guía la selección.

La selección prioriza soluciones con mayor aptitud para reproducirse.

El cruce fusiona información de dos cromosomas para crear descendientes.

La mutación introduce pequeñas cambios para explorar el espacio de soluciones.

Convergencia indica que las soluciones se vuelven similares alrededor de un óptimo.

Sugiere que soluciones efectivas se construyen de bloques locales.

Cada bit suele indicar la presencia o ausencia de un rasgo.

Los GA se aplican en optimización combinatoria, diseño, etc.

 
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