January 2020
Intermediate to advanced
346 pages
9h 8m
English
Content preview from Hands-On Genetic Algorithms with Python
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Summary
In this chapter, you were introduced to the popular concept of reconstructing existing images using a set of overlapping, semi-transparent polygons. Then, you got acquainted with several image processing libraries in Python and found out how an image can be programmatically drawn from scratch using polygons, as well as how to calculate the difference between two images. Next, we developed a genetic algorithm-based program that reconstructed a segment of a famous painting using polygons. Numerous possibilities for further experimentation were mentioned as well.
In the next chapter, we will describe and demonstrate several problem-solving techniques related to genetic algorithms, as well as other biologically inspired computational ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.