Abstract
We present a search method based on a variation of natural molecular evolution to find the global minimum of low-dimensional spin-glasses. A group of different machines operates on a population of suitably defined data strings. Consecutive selection of ”better” strings allows to find the global minimum of the energy landscape.
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Banzhaf, W. (1991). Finding the global minimum of a low-dimensional spin-glass model. In: Becker, J.D., Eisele, I., Mündemann, F.W. (eds) Parallelism, Learning, Evolution. WOPPLOT 1989. Lecture Notes in Computer Science, vol 565. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-55027-5_26
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DOI: https://doi.org/10.1007/3-540-55027-5_26
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