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A Simple Multistart Algorithm for Global Optimization
引用本文:FRED J. HICKERNELL(Department of Mathematics,Hong Kong Baptist University,Hong Kong)YAXIANG YUAN(State Key Laboratory of Scientific and Engineering ComputingInstitute of Computational Mathematics and Scientific/Engineering ComputingChinese Academy of Sc. A Simple Multistart Algorithm for Global Optimization[J]. 运筹学学报, 1997, 0(2)
作者姓名:FRED J. HICKERNELL(Department of Mathematics  Hong Kong Baptist University  Hong Kong)YAXIANG YUAN(State Key Laboratory of Scientific and Engineering ComputingInstitute of Computational Mathematics and Scientific/Engineering ComputingChinese Academy of Sc
作者单位:FRED J. HICKERNELL(Department of Mathematics,Hong Kong Baptist University,Hong Kong
摘    要:1.IntroductionConsidertheunconstrainedoptimizationproblem:findx*suchthatf(x*)~caf(x),(1)wheref(x)isanonlinearfllnctiondefinedonW"andXCR".Ourobjectiveistofindtheglobalminimizeroff(x)inthefeasibleset.Withoutassuminganyconditionsonf(x)globaloptimizationproblemsareunsolvableinthefollowingsensefnoalgorithmcanbeguaranteedtofindaglobalminimizerofageneralnonlinearfunctionwithinfinitelymanyiterations.Supposethatanalgorithmappliedtoanonlinearfunctionf(x)producesiteratesxlandterminatesafterKiterations.…


A Simple Multistart Algorithm for Global Optimization
FRED J. HICKERNELL. A Simple Multistart Algorithm for Global Optimization[J]. OR Transactions, 1997, 0(2)
Authors:FRED J. HICKERNELL
Abstract:A generalization of the multistart algorithm is proposed for finding the globalminimizer of a nonlinear function of n variables. Our method concentrates a quasirandomsample by performing a few inexpensive local searches. The sample is thed reduced byreplacing worse points by flew quasirandom points. A complete local search is performedonly on those points with small function values. This method performs favorably incomparison to other global optimization methods.
Keywords:nonlinear optimization   global minimizer   random points   quasirandom points
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