Genetic algorithms "learn" to make better decisions by making continuous improvements in strategy based the fitness of that solution for survival. These algorithms, modeled after Darwinian evolution, can solve complex optimization problems across many domains - from resource allocation to network design to automated testing. In this talk we'll define the DNA of our solutions, explore how to repres...