A fast annealing evolutionary algorithm for global optimization

Journal of Computational Chemistry
Wensheng Cai, Xueguang Shao

Abstract

By combining the aspect of population in genetic algorithms (GAs) and the simulated annealing algorithm (SAA), a novel algorithm, called fast annealing evolutionary algorithm (FAEA), is proposed. The algorithm is similar to the annealing evolutionary algorithm (AEA), and a very fast annealing technique is adopted for the annealing procedure. By an application of the algorithm to the optimization of test functions and a comparison of the algorithm with other stochastic optimization methods, it is shown that the algorithm is a highly efficient optimization method. It was also applied in optimization of Lennard-Jones clusters and compared with other methods in this study. The results indicate that the algorithm is a good tool for the energy minimization problem.

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Citations

Jun 11, 2009·The Journal of Chemical Physics·Longjiu ChengJinlong Yang
Sep 26, 2007·Protein Science : a Publication of the Protein Society·Nathan B HolladayNick V Grishin
Jul 23, 2004·The Journal of Chemical Physics·Xueguang ShaoWensheng Cai
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Dec 23, 2006·Journal of Computational Chemistry·Svetlana Stepanenko, Bernd Engels
Mar 9, 2005·Chemphyschem : a European Journal of Chemical Physics and Physical Chemistry·Longjiu ChengXueguang Shao
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Feb 8, 2007·Chemphyschem : a European Journal of Chemical Physics and Physical Chemistry·Longjiu ChengXueguang Shao
Oct 24, 2014·Faraday Discussions·Athanasios AnthopoulosAndrea Brancale
Oct 15, 2008·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Yin WangXi-Jing Ning
Mar 30, 2021·Frontiers in Chemistry·Ruby Srivastava
Nov 26, 2010·The Journal of Physical Chemistry. a·Xueguang ShaoWensheng Cai
Nov 4, 2011·The Journal of Physical Chemistry. a·Xia WuYuanyuan Qiao
May 1, 2015·Journal of Chemical Information and Modeling·Qiyao Zhang, Longjiu Cheng

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