Title of article
Adaptive memoryprogrammingforconstrainedglobaloptimization
Author/Authors
Leon Lasdon، نويسنده , , AbrahamDuarte، نويسنده , , FredGlover c، نويسنده , , ManuelLaguna d، نويسنده , , RafaelMart?´ ، نويسنده ,
Issue Information
ماهنامه با شماره پیاپی سال 2010
Pages
10
From page
1500
To page
1509
Abstract
The problemoffindingaglobaloptimumofaconstrainedmultimodalfunctionhasbeenthesubjectof
intensivestudyinrecentyears.Severaleffectiveglobaloptimizationalgorithmsforconstrained
problemshavebeendeveloped;amongthem,themulti-startproceduresdiscussedinUgrayetal. [1]
are themosteffective.Wepresentsomenewmulti-startmethodsbasedontheframeworkofadaptive
memoryprogramming(AMP),whichinvolvememorystructuresthataresuperimposedonalocal
optimizer.Computationalcomparisonsinvolvingwidelyusedgradient-basedlocalsolvers,suchas
Conopt andOQNLP,areperformedonatestbedof41problemsthathavebeenusedtocalibratethe
performanceofsuchmethods.OurtestsindicatethatthenewAMPproceduresarecompetitivewiththe
best performingexistingones.
Keywords
Tabu search , Global optimization
Journal title
Computers and Operations Research
Serial Year
2010
Journal title
Computers and Operations Research
Record number
927759
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