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- W2080777730 abstract "A fundamental problem associated with global optimization is the large free energy barrier for the corresponding solid-solid phase transitions for systems with multi-funnel energy landscapes. To address this issue we consider the Tsallis weight instead of the Boltzmann weight to define the acceptance ratio for basin-hopping global optimization. Benchmarks for atomic clusters show that using the optimal Tsallis weight can improve the efficiency by roughly a factor of two. We present a theory that connects the optimal parameters for the Tsallis weighting, and demonstrate that the predictions are verified for each of the test cases." @default.
- W2080777730 created "2016-06-24" @default.
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- W2080777730 date "2014-08-18" @default.
- W2080777730 modified "2023-09-27" @default.
- W2080777730 title "Communication: Optimal parameters for basin-hopping global optimization based on Tsallis statistics" @default.
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- W2080777730 doi "https://doi.org/10.1063/1.4893344" @default.
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