| Hi-index | 0.00 |
Simple genetic algorithms have been used in a wide range of engineering and scientific fields to quickly procure useful solutions to poorly understood optimization problems. Unfortunately, despite the routine use of these algorithms for over three decades, their remarkable adaptive capacity has not been adequately accounted for. In my dissertation, I develop, submit, and support the generative fixation hypothesis---a unified explanation for the adaptive capacity of the simple genetic algorithm.