On statistical-mechanical grounds, a stochastic optimization technique (generalized simulated annealing) has been recently proposed which contains both classical simulated annealing (Kirkpatrick et al., 1983) and fast simulated annealing (Szu, 1986) as particular cases. This technique can be faster than both in detecting global (and also local) minima. Its utility in quantum chemistry is here illustrated, through the use of a semiempirical quantum method, on molecules of the series CH3-R (C2H6, CH3COH, CH3OH), H(2)X(2) (H2O2, H2S2), X(2)Y(4) (N2H4, P2H4, N2F4), for double bonds (C2H4 and CH2NH), and finally for H2O3. (C) 1996 John Wiley & Sons, Inc. [References: 17]
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机译：在统计力学的基础上，最近提出了一种随机优化技术（广义模拟退火），其中包括经典模拟退火（Kirkpatrick等，1983）和快速模拟退火（Szu，1986）。与检测全局（以及局部）最小值相比，该技术可能要快得多。通过使用半经验量子方法，在CH3-R（C2H6，CH3COH，CH3OH），H（2）X（2）（H2O2，H2S2），X（ 2）Y（4）（N2H4，P2H4，N2F4），用于双键（C2H4和CH2NH），最后用于H2O3。 （C）1996 John Wiley＆Sons，Inc. [参考：17]
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