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Volumn 57, Issue 11-12, 2009, Pages 1877-1882

Conjugate direction particle swarm optimization solving systems of nonlinear equations

Author keywords

Conjugate direction method; Particle swarm optimization; Systems of nonlinear equations

Indexed keywords

CONJUGATE DIRECTION METHOD; DIMENSIONAL FUNCTIONS; FUNCTION OPTIMIZATION PROBLEMS; HIGH-DIMENSIONAL; HIGH-DIMENSIONAL OPTIMIZATIONS; HIGHLY SENSITIVES; INITIAL GUESS; LOCAL MINIMUMS; LOCAL OPTIMAL SOLUTIONS; NEWTON'S METHODS; NUMERICAL COMPUTATIONS; NUMERICAL RESULTS; OPTIMIZATION PROBLEMS; PERFORMANCE CHARACTERISTICS; SYSTEMS OF NONLINEAR EQUATIONS;

EID: 67349129437     PISSN: 08981221     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.camwa.2008.10.005     Document Type: Article
Times cited : (77)

References (8)
  • 6
    • 17244379235 scopus 로고    scopus 로고
    • Hybrid Genetic Algorithm for solving systems of nonlinear equations
    • Luo Y.Z., Yuan D.C., and Tang G.J. Hybrid Genetic Algorithm for solving systems of nonlinear equations. Chinese Journal of Computation Mechanics 22 1 (2005) 109-114
    • (2005) Chinese Journal of Computation Mechanics , vol.22 , Issue.1 , pp. 109-114
    • Luo, Y.Z.1    Yuan, D.C.2    Tang, G.J.3
  • 7
    • 34648853789 scopus 로고    scopus 로고
    • The application of floating genetic algorithms to solving non-linear equation groups
    • Zeng Y. The application of floating genetic algorithms to solving non-linear equation groups. Journal of East China Jiaotong University 22 1 (2005) 152-155
    • (2005) Journal of East China Jiaotong University , vol.22 , Issue.1 , pp. 152-155
    • Zeng, Y.1
  • 8
    • 0030124952 scopus 로고    scopus 로고
    • Extension of the Lanczos and CGS methods to systems of nonlinear equations
    • Krzyworzcka S. Extension of the Lanczos and CGS methods to systems of nonlinear equations. Journal of Computational and Applied Mathematics 69 1 (1996) 181-190
    • (1996) Journal of Computational and Applied Mathematics , vol.69 , Issue.1 , pp. 181-190
    • Krzyworzcka, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.