Exploiting Fertility to Enable Automatic Content Generation to Ameliorate User Fatigue in Interactive Evolutionary Computation
Daniel Ashlock, Joseph Alexander Brown, Lolita Sultanaeva · 2018
The fertility of two structures in an evolutionary computation system is the expected fitness of their potential offspring. The study uses the problem of locating interesting fractals to introduce an application of fertility intended to reduce user fatigue in Interactive Evolutionary Computation with a human-in-the-loop evaluation method. High fertility sets of fractal parameters are shown to substantially increase the performance of evolution using small population size, a surrogate for human-driven selection. The high fertility sets of fractal parameters are a form of automatically generated content that is part of an application intended to permit a user to find pleasing fractals.