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Volumn 36, Issue 4 PART 1, 2000, Pages 1000-1003

A self-learning simulated annealing algorithm for global optimizations of electromagnetic devices

Author keywords

Domain elimination method; Global optimization; Self learning ability; Simulated annealing algorithm

Indexed keywords


EID: 33747941683     PISSN: 00189464     EISSN: None     Source Type: Journal    
DOI: 10.1109/20.877610     Document Type: Article
Times cited : (21)

References (7)
  • 1
    • 0030149661 scopus 로고    scopus 로고
    • Combined strategy of improved simulated annealing and genetic algorithm for inverse problem
    • 32, no. 3, pp. 1326-1329, 1996.
    • T. Renyuan, Y. Shiyou, L. Yan.and W. Geng, "Combined strategy of improved simulated annealing and genetic algorithm for inverse problem," IEEE Trans. Magn., 32, no. 3, pp. 1326-1329, 1996.
    • IEEE Trans. Magn.
    • Renyuan, T.1    Shiyou, Y.2    Yan, L.3    Geng, W.4
  • 3
    • 0026829580 scopus 로고    scopus 로고
    • A combined strategy for optimization in nonlinear magnetic problems using simulated annealing and search techniques
    • G. Drago and A. Manella, "A combined strategy for optimization in nonlinear magnetic problems using simulated annealing and search techniques," IEEE Trans. Magn., 28, no. 2, pp. 1541-1544, 1992.
    • IEEE Trans. Magn., 28, No. 2, Pp. 1541-1544, 1992.
    • Drago, G.1    Manella, A.2
  • 7
    • 0033397380 scopus 로고    scopus 로고
    • Intensification and diversification with elite tabu search solutions for the linear ordering problem
    • M. Laguna, "Intensification and diversification with elite tabu search solutions for the linear ordering problem," Computers Ops Res., 26, pp. 1217-1230, 1999.
    • Computers Ops Res., 26, Pp. 1217-1230, 1999.
    • Laguna, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.