Empirical Benchmarks of a Genetic Algorithm Incorporating Human Strategies
نویسندگان
چکیده
This work outlines the incorporation of human strategies in a genetic algorithm. Human competence and machine intelligence are merged creating symbiotic human-machine intelligence, which is called HuGO!, the Human strategy based Genetic Optimizer. HuGO! emerged from and is applied to the restoration problem of Rubik’s Cube and successfully solves this task. A competition between HuGO! and human Rubik’s Cube contestants demonstrates that the incorporated human strategies improved the genetic solver’s performance to become human-competitive.
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