Title of article :
A newlinearizationmethodforgeneralizedlinearmultiplicativeprogramming
Author/Authors :
Chun Feng Wang، نويسنده , , San-YangLiu، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2011
Pages :
6
From page :
1008
To page :
1013
Abstract :
This paperpresentsadeterministicglobaloptimizationalgorithmforsolvinggeneralizedlinear multiplicativeprogramming(GLMP).Inthisalgorithm,anewlinearizationmethodisproposed,which appliesmoreinformationofthefunctionof(GLMP)thansomeothermethods.Byusingthisnew linearizationtechnique,theinitialnonconvexproblemisreducedtoasequenceoflinearprogramming problems.Adeletingruleispresentedtoimprovetheconvergencespeedofthisalgorithm.The convergenceofthisalgorithmisestablished,andsomeexperimentsarereportedtoshowthefeasibility and efficiencyofthisalgorithm.
Keywords :
Multiplicative programming , Linear relaxation , Global optimization , Branch and Bound
Journal title :
Computers and Operations Research
Serial Year :
2011
Journal title :
Computers and Operations Research
Record number :
927919
Link To Document :
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