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Volumn 320, Issue 3-4, 2008, Pages 210-216

Using a genetic algorithm to study properties of minimum energy states and geometrical frustration in artificial "spin ice" systems

Author keywords

Frustration; Genetic algorithm; Spin ice

Indexed keywords

DIPOLE MOMENT; ELECTRON ENERGY LEVELS; FERROMAGNETIC MATERIALS; GEOMETRY; MONTE CARLO METHODS; STATISTICS;

EID: 35448985447     PISSN: 03048853     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmmm.2007.05.029     Document Type: Article
Times cited : (8)

References (27)
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  • 5
    • 35448997331 scopus 로고    scopus 로고
    • See Proceedings of Waterloo Conference on Highly Frustrated Magnetism: Can. J. Phys. 79 (2001) 1283-1596.
  • 13
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    • Hilgenkamp H., et al. Nature 422 (2003) 50-53
    • (2003) Nature , vol.422 , pp. 50-53
    • Hilgenkamp, H.1
  • 20
    • 31144454793 scopus 로고    scopus 로고
    • Wang R.F., et al. Nature 439 (2006) 303-306
    • (2006) Nature , vol.439 , pp. 303-306
    • Wang, R.F.1
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    • 35448990156 scopus 로고    scopus 로고
    • M.E.J. Newmann, G.T. Barkema, Clarendon Press, Oxford, 1999.
  • 25
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    • L.M. Schmitt, S. Droste, in: Proceedings of the 8th Annual Conference on Genetic and Evolutionary Computation, 2006, pp. 879-886, ISBN:1-59593-186-4.
  • 26
    • 33750250686 scopus 로고    scopus 로고
    • Asymptotic convergence of scaled genetic algorithms to global optima-a gentle introduction to the theory
    • Menon A. (Ed), Kluwer, Dordrecht, The Netherlands
    • Schmitt L.M. Asymptotic convergence of scaled genetic algorithms to global optima-a gentle introduction to the theory. In: Menon A. (Ed). Frontiers of Evolutionary Computation (2004), Kluwer, Dordrecht, The Netherlands 157-192
    • (2004) Frontiers of Evolutionary Computation , pp. 157-192
    • Schmitt, L.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.