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Evolution in Your Code: Understanding and Coding Genetic Algorithm From Scratch — Part 1
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Evolution in Your Code: Understanding and Coding Genetic Algorithm From Scratch — Part 1

Last Updated on November 6, 2023 by Editorial Team

Author(s): Francis Adrian Viernes

Originally published on Towards AI.

Understanding and Creating the Code from Scratch
Photo by Johannes Plenio on Unsplash

Have you ever looked at nature and wondered at how organisms evolved, adapted, and survived over millennia? What if I told you that you, sitting in front of your computer, hold the power to simulate a similar process of evolution, not over millennia, but in mere seconds? This is of course, through, genetic algorithms.

The concept of “genetic algorithm” (GA) has been around since the 1960s when John Holland at the University of Michigan discovered it.

Holland’s journey didn’t begin with trying to replicate evolution in computers. Instead, he aimed to understand why and how natural systems… Read the full blog for free on Medium.

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