9.1 Genetic Algorithms And Evolutionary Computing (The Nature Of Code)

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Published Mar 13, 2016

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

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9.1 Genetic Algorithms And Evolutionary Computing (The Nature Of Code)

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