A computational physicist who coauthored simulated annealing as an approach to optimization. Random trial changes are accepted according to a temperature-like parameter, including some moves that worsen the objective; lowering that parameter gradually favors low-cost states. The analogy with thermal equilibration turns statistical physics into a practical search strategy for complicated optimization landscapes.[ref]
Optimization by Simulated Annealing by Scott Kirkpatrick and others. pp. 672–673 and 675: statistical-mechanical analogy, acceptance rule and optimization examples
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