Media Summary: Population:400 (number of DNAs) Internal image resolution: 128x128 Circles: 256 Each circle's X coordinate,Y coordinate, radius ... Uses GA (evaluate fitness, select pairs, crossover, mutation) to create a target image. Speeded up 4.8 times. Reminds me of that touched up Jesus painting in Spain.

Cuda Accelerated Genetic Algorithm Mona - Detailed Analysis & Overview

Population:400 (number of DNAs) Internal image resolution: 128x128 Circles: 256 Each circle's X coordinate,Y coordinate, radius ... Uses GA (evaluate fitness, select pairs, crossover, mutation) to create a target image. Speeded up 4.8 times. Reminds me of that touched up Jesus painting in Spain. Automated design of motion strategy using This video shows how to do an image copy using a 1500 characters with color, size and location attributes to create an image that matches

It took only a few minutes to achieve 0.92 fitness, but the rest last several hours.

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CUDA accelerated genetic algorithm: Mona Lisa drawing - 10 minute run
Mona Lisa Drawing made of 1024 circles with CUDA accelerated Genetic Algorithm
CUDA accelerated Genetic Algorithm: Drawing Atatürk picture in 15 minutes using random circles
003 Genetic Algorithm: makes low-resolution of Mona Lisa
Genetic algorithm drawing the Mona Lisa
Genetic algorithm. Learning to jump over ball.
Mona Lisa with Genetic Algorithm
Monalisa image copy with genetic algorithm
Multi-criteria optimization: Mass study using genetic algorithm
Mona Lisa from 1500 characters with genetic algorithm
Approximating Mona Lisa with 500 ovals using genetic algorithm
CUDA Genetic Algorithm to draw image using only circles (optimized version)
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CUDA accelerated genetic algorithm: Mona Lisa drawing - 10 minute run

CUDA accelerated genetic algorithm: Mona Lisa drawing - 10 minute run

Population:400 (number of DNAs) Internal image resolution: 128x128 Circles: 256 Each circle's X coordinate,Y coordinate, radius ...

Mona Lisa Drawing made of 1024 circles with CUDA accelerated Genetic Algorithm

Mona Lisa Drawing made of 1024 circles with CUDA accelerated Genetic Algorithm

CUDA accelerated

CUDA accelerated Genetic Algorithm: Drawing Atatürk picture in 15 minutes using random circles

CUDA accelerated Genetic Algorithm: Drawing Atatürk picture in 15 minutes using random circles

At each step, 4 circles are optimized by

003 Genetic Algorithm: makes low-resolution of Mona Lisa

003 Genetic Algorithm: makes low-resolution of Mona Lisa

Uses GA (evaluate fitness, select pairs, crossover, mutation) to create a target image. Speeded up 4.8 times.

Genetic algorithm drawing the Mona Lisa

Genetic algorithm drawing the Mona Lisa

Reminds me of that touched up Jesus painting in Spain.

Genetic algorithm. Learning to jump over ball.

Genetic algorithm. Learning to jump over ball.

Automated design of motion strategy using

Mona Lisa with Genetic Algorithm

Mona Lisa with Genetic Algorithm

My experimental

Monalisa image copy with genetic algorithm

Monalisa image copy with genetic algorithm

This video shows how to do an image copy using a

Multi-criteria optimization: Mass study using genetic algorithm

Multi-criteria optimization: Mass study using genetic algorithm

Rhino #Grasshopper #

Mona Lisa from 1500 characters with genetic algorithm

Mona Lisa from 1500 characters with genetic algorithm

1500 characters with color, size and location attributes to create an image that matches

Approximating Mona Lisa with 500 ovals using genetic algorithm

Approximating Mona Lisa with 500 ovals using genetic algorithm

It took only a few minutes to achieve 0.92 fitness, but the rest last several hours.

CUDA Genetic Algorithm to draw image using only circles (optimized version)

CUDA Genetic Algorithm to draw image using only circles (optimized version)

Solution space search

Genetic Algorithms doing "Art": Mona Lisa v02

Genetic Algorithms doing "Art": Mona Lisa v02

First simulation of