Abstract
There is a deep and useful connection between statistical mechanics (the behavior of systems with many degrees of freedom in thermal equilibrium at a finite temperature) and multivariate or combinatorial optimization (finding the minimum of a given function depending on many parameters). A detailed analogy with annealing in solids provides a framework for optimization of the properties of very large and complex systems. This connection to statistical mechanics exposes new information and provides an unfamiliar perspective on traditional optimization problems and methods.
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Dates
Type | When |
---|---|
Created | 18 years, 10 months ago (Oct. 5, 2006, 2:37 p.m.) |
Deposited | 1 year, 7 months ago (Jan. 12, 2024, 3:45 a.m.) |
Indexed | 3 minutes ago (Aug. 30, 2025, 11:03 p.m.) |
Issued | 42 years, 3 months ago (May 13, 1983) |
Published | 42 years, 3 months ago (May 13, 1983) |
Published Print | 42 years, 3 months ago (May 13, 1983) |
@article{Kirkpatrick_1983, title={Optimization by Simulated Annealing}, volume={220}, ISSN={1095-9203}, url={http://dx.doi.org/10.1126/science.220.4598.671}, DOI={10.1126/science.220.4598.671}, number={4598}, journal={Science}, publisher={American Association for the Advancement of Science (AAAS)}, author={Kirkpatrick, S. and Gelatt, C. D. and Vecchi, M. P.}, year={1983}, month=may, pages={671–680} }