On the Thermodynamics of Global Optimization

dc.creatorDoye, Jonathan
dc.creatorWales, David
dc.date1997-09-01
dc.date.accessioned2026-07-07T09:12:06Z
dc.date.available2026-07-07T09:12:06Z
dc.descriptionTheoretical design of global optimization algorithms can profitably utilize recent statistical mechanical treatments of potential energy surfaces (PES's). Here we analyze a particular method to explain its success in locating global minima on surfaces with a multiple-funnel structure, where trapping in local minima with different morphologies is expected. We find that a key factor in overcoming trapping is the transformation applied to the PES which broadens the thermodynamic transitions. The global minimum then has a significant probability of occupation at temperatures where the free energy barriers between funnels are surmountable.
dc.description4 pages, 3 figures, revtex
dc.identifierhttps://arxiv.org/abs/cond-mat/9709019
dc.identifierhttp://arxiv.org/abs/cond-mat/9709019
dc.identifierPhys. Rev. Lett. 80, 1357 (1998)
dc.identifierdoi:10.1103/PhysRevLett.80.1357
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/151910
dc.subjectStatistical Mechanics
dc.titleOn the Thermodynamics of Global Optimization
dc.typetext

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