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基于自适应遗传算法的航材动态调度规划研究（英文）.docx

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基于自适应遗传算法的航材动态调度规划研究（英文） ResearchonDynamicSchedulingofAviationMaterialsbasedonAdaptiveGeneticAlgorithm Abstract: Withtherapiddevelopmentoftheaviationindustry,themanagementandschedulingofaviationmaterialshavebecomeincreasinglyimportant.Efficientandeffectiveschedulingofthesematerialscansignificantlyreducemaintenancecostsandimproveoperationalefficiency.Inthisstudy,weproposeadynamicschedulingapproachbasedonadaptivegeneticalgorithmforaviationmaterials.Thealgorithmisdesignedtoadaptivelyadjustthecrossoverandmutationratestomaintainabalancebetweenexplorationandexploitation.Throughsimulationsandcomparisonwithtraditionalschedulingmethods,theperformanceoftheproposedapproachisevaluated.Theresultsdemonstratethattheadaptivegeneticalgorithmcaneffectivelyoptimizetheschedulingofaviationmaterials,demonstratingitspotentialforpracticalapplications. 1.Introduction Theaviationindustryheavilyreliesonaviationmaterialstomaintainthesafetyandreliabilityofaircraft.Theschedulingofthesematerialsplaysacrucialroleintheoverallmaintenanceprocess.Traditionalschedulingmethodsoftenhavelimitationsindealingwithdynamicchangesindemandandresourceconstraints.Theobjectiveofthisresearchistodevelopadynamicschedulingapproachthatcanadapttochangingconditionsandimprovetheoverallefficiencyofaviationmaterialmanagement. 2.LiteratureReview Previousstudieshaveexploredvariousoptimizationalgorithmsforschedulingproblems,includinggeneticalgorithms,simulatedannealing,andantcolonyoptimization.Geneticalgorithmshavebeenwidelyappliedtosolveschedulingproblemsinvariousdomainsduetotheirabilitytohandlecomplexconstraintsanddynamicenvironments.However,traditionalgeneticalgorithmsoftensufferfromprematureconvergenceandslowconvergencespeed.Toaddresstheseissues,adaptivegeneticalgorithmshavebeenproposed,whichdynamicallyadjustthecrossoverandmutationratesduringtheoptimizationprocess. 3.Methodology Theproposedapproachcombinesadaptivegeneticalgorithmwithdynamicschedulingofaviationmaterials.Thealgorithmstartswithaninitialpopulationofpotentialsch