Computer and Modernization ›› 2018, Vol. 0 ›› Issue (06): 16-.doi: 10.3969/j.issn.1006-2475.2018.06.004

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ApplicationofMulti-objectiveGeneticAlgorithminShipLockScheduling

  

  1. (NARIGroupCorporation(StateGridElectricPowerResearchInstitute),Nanjing211000,China)
  • Received:2018-02-24 Online:2018-07-05 Published:2018-07-05

Abstract: Aimingattheinefficiencyoftraditionalwatertransportscheduling,ashiplockschedulingmethodbasedon〖JP2〗improvedmulti-objectivegeneticalgorithmisproposed.Basedonthebiologicalevolutionprocess,theresultsofshipgearingsaredefinedasindividualsofevolutionaryobjects,andchromosomecodingandpopulationinitializationareperformed.Theobjectivefunctionisconstructedaccordingtodifferentschedulingindexes,andindividualfitnessiscalculatedfortheinitialpopulation.Selectionoperations,crossoveroperationsandvarianceoperationsareusedtoevaluateandmakedecisionsfromaglobalperspectiveandtooutputtheoptimalgearschedulethatmeetstheschedulingrequirements.ExperimentsarecarriedoutusingtheactualdataofChangzhouShipLock,whichshowsthatthemethodnotonlyimprovestheutilizationrateoflockbutalsoshortenstheschedulingtime.

Key words: shiplockscheduling, geneticalgorithm, optimization

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