Hysteretic Optimization For Spin Glasses
arXiv:0710.2138 · doi:10.1088/1742-5468/2008/01/P01003
Abstract
The recently proposed Hysteretic Optimization (HO) procedure is applied to the 1D Ising spin chain with long range interactions. To study its effectiveness, the quality of ground state energies found as a function of the distance dependence exponent, , is assessed. It is found that the transition from an infinite-range to a long-range interaction at is accompanied by a sharp decrease in the performance . The transition is signaled by a change in the scaling behavior of the average avalanche size observed during the hysteresis process. This indicates that HO requires the system to be infinite-range, with a high degree of interconnectivity between variables leading to large avalanches, in order to function properly. An analysis of the way auto-correlations evolve during the optimization procedure confirm that the search of phase space is less efficient, with the system becoming effectively stuck in suboptimal configurations much earlier. These observations explain the poor performance that HO obtained for the Edwards-Anderson spin glass on finite-dimensional lattices, and suggest that its usefulness might be limited in many combinatorial optimization problems.
6 pages, 9 figures. To appear in JSTAT. Author website: http://www.bgoncalves.com
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- The metastable minima of the Heisenberg spin glass in a random magnetic field
- Self-organized critical behavior and marginality in Ising spin glasses
- Boolean decision problems with competing interactions on scale-free networks: Equilibrium and nonequilibrium behavior in an external bias
- Hysteretic response to different modes of ramping an external field in sparse and dense Ising spin glasses