Towards Creative Evolutionary Systems with Interactive Genetic Algorithm
Applied Intelligence
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As suggested in the Blind Watchmaker, human selection can be a remarkable source of information for guiding a genetic algorithm when objective cost functions are unknown. Properly harnessing such input, however, requires an understanding of the "numbers" humans produce as well as the limitations humans face when performing extensive judgment tasks. The Interactive Augmented Genetic Algorithm (IAGA) modifies both the procedural and algorithmic components of Interactive Genetic Algorithms to better match the human-selection process. experimental results show that cochlear implant recipients are successful in using the IAGA to select processing parameters to improve their perception of music.