Article
Pareto clustering search applied for 3D container ship loading plan problem
The3DContainershipLoadingPlanProblem(CLPP)isanimportantproblemthatappearsinseaportcontainerterminaloperations.Thisproblemconsistsofdetermininghowtoorganizethecontainersinashipinordertominimizethenumberof ovementsnecessarytoloadandunloadthecontainershipandtheinstabilityoftheshipineachport.TheCLPPiswellknowntobeNP hard.Inthispaper,thehybridmethodParetoClusteringSearch(PCS)isproposedtosolvetheCLPPandobtainagoodapproximationtotheParetoFront.ThePCSaimstocombinemetaheuristicsandlocalsearchheuristics,andtheintensificationisperformedonlyinpromisingregions.ComputationalresultsconsideringinstancesavailableintheliteraturearepresentedtoshowthatPCSprovidesbettersolutionsfortheCLPPthanamono-objectiveSimulatedAnnealing.
| Judul | Edisi | Bahasa |
|---|---|---|
| Analysis of proper capacity at Jakarta International Container Terminal | en | |
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