Genetic algorithm for the pair distribution function of the electron gas

被引：0
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作者：
Fernando Vericat
César O. Stoico
C. Manuel Carlevaro
Danilo G. Renzi
机构：
[1] Universidad Nacional de La Plata,Grupo de Aplicaciones Matemáticas y Estadísticas de la Facultad de Ingeniería (GAMEFI)
[2] Universidad Nacional de Rosario,Area Física, Facultad de Ciencias Bioquímicas y Farmacéuticas
[3] Instituto de Física de Líquidos y Sistemas Biológicos (IFLYSIB)-CONICET-CCT La Plata,Facultad de Ciencias Veterinarias
[4] Universidad Nacional de Rosario,undefined
[5] Casilda,undefined
来源：
Interdisciplinary Sciences: Computational Life Sciences | 2011年 / 3卷
关键词：
electron gas; evolutionary algorithms; crossover; mutation;
D O I：
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学科分类号：
摘要：
The pair distribution function of the electron gas is calculated using a parameterized generalization of hypernetted chain approximation with the parameters being obtained by optimizing the system energy with a genetic algorithm. The functions so obtained are compared with Monte Carlo simulations performed by other authors in its variational and di_usion versions showing a very good agreement especially with the di_usion Monte Carlo results.
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页码：283 / 289
页数：6
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