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Divide and Evolve Driven by Human Strategies

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Simulated Evolution and Learning (SEAL 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6457))

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Abstract

This work describes the incorporation of human strategies into a genetic algorithm. Human competence and machine intelligence are merged, creating a divide and evolve approach. The approach is applied to the restoration problem of Rubik’s Cube and successfully solves this task.

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References

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© 2010 Springer-Verlag Berlin Heidelberg

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Borschbach, M., Grelle, C., Hauke, S. (2010). Divide and Evolve Driven by Human Strategies. In: Deb, K., et al. Simulated Evolution and Learning. SEAL 2010. Lecture Notes in Computer Science, vol 6457. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17298-4_38

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  • DOI: https://doi.org/10.1007/978-3-642-17298-4_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17297-7

  • Online ISBN: 978-3-642-17298-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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