Abstract
Research in spin-glass physics, population genetics, and neural network dynamics has provided powerful methods for finding near-global optima of functions that have many local optima. These techniques are being applied successfully to a wide variety of scientific and engineering problems. They may also give new insights into combinatorial optimization problems.
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Bounds, D. New optimization methods from physics and biology. Nature 329, 215–219 (1987). https://doi.org/10.1038/329215a0
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DOI: https://doi.org/10.1038/329215a0
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