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Weight annealing

Matan Ninio and Johannes J. Schneider

Physica A: Statistical Mechanics and its Applications, 2005, vol. 349, issue 3, 649-666

Abstract: Simulated Annealing has become a standard optimization technique for a wide variety of problems: starting at a random configuration and performing a sequence of moves, the system is optimized using a control parameter which partially allows for accepting a deterioration and therefore for climbing over barriers in the energy landscape. Our approach, Weight Annealing, changes the energy landscape by assigning variable weights to the single parts of the proposed problem. We describe the philosophies behind these algorithms and present results for the Traveling Salesman Problem and the Sherrington–Kirkpatrick-model for spin glasses.

Keywords: Optimization; Simulated annealing; Energy landscape; Traveling Salesman Problem; SK-model (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:349:y:2005:i:3:p:649-666

DOI: 10.1016/j.physa.2004.10.022

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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