GENETIC ALGORITHM APPROACH FOR ISING-MODEL

被引：10

作者：

MAKSYMOWICZ, AZ

GALLETLY, JE

MAGDON, MS

MAKSYMOWICZ, IL

机构：

[1] UNIV BUCKINGHAM,DEPT COMP SCI,BUCKINGHAM MK18 1EG,ENGLAND

[2] PEDAGOG UNIV,DEPT PHYS & COMP SCI,PL-30084 KRAKOW,POLAND

[3] JAGIELLONIAN UNIV,DEPT PHYS & COMP SCI,PL-30084 KRAKOW,POLAND

[4] JAGIELLONIAN UNIV,INST COMP SCI,PL-30950 KRAKOW,POLAND

来源：

JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS | 1994年 / 133卷 / 1-3期

关键词：

D O I：

10.1016/0304-8853(94)90483-9

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The S = 1/2 Ising model for two-dimensional lattices, with nearest-neighbour interactions, is investigated using a genetic algorithm approach. Results are compared with exact analytical solutions and computer simulations. We found the genetic algorithm to be very efficient for fast search in the spin configuration phase space, especially in the early stages when the system is far from equilibrium. A combination of the genetic algorithm followed by one of the well-tested simulation techniques seems to be an optimal approach.

引用

页码：40 / 41

页数：2

共 7 条

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