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Volumn 18, Issue 4, 2003, Pages 441-444+448

Applications of multiple objective genetic algorithms in mobile networks planning

Author keywords

Automatic cell placement; Cell planning; Genetic algorithms; Mobile networks planning; Multiple objective optimization; NSGA II

Indexed keywords

COMPUTER SIMULATION; GENETIC ALGORITHMS; MATHEMATICAL OPERATORS; PLANNING;

EID: 0142261090     PISSN: 10010920     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (9)

References (10)
  • 1
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    • Field strength prediction by ray-tracing for adaptive base station positioning in mobile communication networks
    • Neu Ulm
    • Thomas Fritsch, Kurt Tutschku, Kenji Leibnitz. Field strength prediction by ray-tracing for adaptive base station positioning in mobile communication networks [A]. 2nd ITG Conf on Mobile Communication'95 [C]. Neu Ulm, 1995. 135-139.
    • (1995) 2nd ITG Conf. on Mobile Communication'95 , pp. 135-139
    • Fritsch, T.1    Tutschku, K.2    Leibnitz, K.3
  • 3
    • 0030680339 scopus 로고    scopus 로고
    • Genetic approach to radio network optimization for mobile systems
    • Phoenix
    • Calegari P, Cuidec F, Kuonen P, et al. Genetic approach to radio network optimization for mobile systems [A]. Proc IEEE VTC'97 [C]. Phoenix, 1997. 2: 755-759.
    • (1997) Proc. IEEE VTC'97 , vol.2 , pp. 755-759
    • Calegari, P.1    Cuidec, F.2    Kuonen, P.3
  • 4
    • 0142145378 scopus 로고    scopus 로고
    • Genetic approach with a new representation for base station placement in mobile communications
    • Atlantic
    • Jin K H. Genetic approach with a new representation for base station placement in mobile communications [A]. Proc IEEE VTC'01[C]. Atlantic, 2001. 860-864.
    • (2001) Proc. IEEE VTC'01 , pp. 860-864
    • Jin, K.H.1
  • 6
    • 84947926042 scopus 로고    scopus 로고
    • A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II
    • Paris
    • Deb K, Agrawal S, Pratap A, et al. A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II [A]. Proc of the Parallel Problem Solving from Nature VI Conf [C]. Paris, 2000. 849-858.
    • (2000) Proc. of the Parallel Problem Solving from Nature VI Conf. , pp. 849-858
    • Deb, K.1    Agrawal, S.2    Pratap, A.3
  • 7
    • 0000852513 scopus 로고
    • Multi-objective function optimization using non-dominated sorting genetic algorithms
    • Srinivas N, Deb K. Multi-objective function optimization using non-dominated sorting genetic algorithms [J]. Evolutionary Computation, 1995, 2(3): 221-248.
    • (1995) Evolutionary Computation , vol.2 , Issue.3 , pp. 221-248
    • Srinivas, N.1    Deb, K.2
  • 9
    • 84888632273 scopus 로고
    • An empirical comparison of selection methods in evolutionary algorithm
    • Berlin: Springer-Verlag
    • Hancock P J B. An empirical comparison of selection methods in evolutionary algorithm [A]. Evolutionary Computing: AISB Workshop [C]. Berlin: Springer-Verlag, 1994. 80-94.
    • (1994) Evolutionary Computing: AISB Workshop , pp. 80-94
    • Hancock, P.J.B.1
  • 10
    • 0142145380 scopus 로고    scopus 로고
    • Chinese source


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.