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9.1 Evolutionary Computing (The Nature Of Code)

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This video covers genetic algorithms and looks at how they are applied in 3 scenarios. 1: search problems where brute force is an impossibility (infinite monkey theorem). 2: physics-based systems 3: Interactive selection (i.e. user behavior driven fitness).

This video is excerpted from a presentation given at Kickstarter. Full video is here: https://vimeo.com/63755542

Read along: http://natureofcode.com/book/chapter-9-the-evolution-of-code/

Evolved Virtual Creatures: http://www.karlsims.com/evolved-virtual-creatures.html
Infinite Monkey Theorem: http://en.wikipedia.org/wiki/Infinite_monkey_theorem
Smart Rockets: http://www.blprnt.com/smartrockets/
BoxCar2D: http://boxcar2d.com/
Galapagos: http://www.karlsims.com/galapagos/

https://github.com/shiffman/The-Nature-of-Code-Examples/tree/master/Processing/chp9_ga
Category
Computing
Tags
processing.org, nature of code, genetic algorithms, evolution, karl sims
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