基于機(jī)器學(xué)習(xí)的區(qū)域性綜合資源調(diào)度與優(yōu)化算法設(shè)計

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中圖分類號：TN915.04-34；TP391.9 文獻(xiàn)標(biāo)識碼：A 文章編號：1004-373X（2025）16-0128-05

Machine learning based design of regional comprehensive resource scheduling andoptimizationalgorithm

LEIChengtao1，ZHANGLi2，HANTengfei1 （1.College of Architecture and Environment，Sichuan University，Chengdu 61oo65，China; 2.Sichuan University Engineering Design and Research Institute Co.，Ltd.， Chengdu 61O065，China）

Abstract：Inorderto enhancethe emergencyresource scheduling capabilityinurbandisaster preventionandreduction，a regional comprehensiveresourceschedulingandoptimizationalgorithmbasedonmachinelearning isproposed.Inthisalgorithm， thecontinumapproximation（CA）modelisused todeterminetheoptimalreplenishmentquantityandinventorylevelforsevering a specific location，and K -means clustering algorithm is used to cluster the pre allocated routes，making emergency resource schedulingmoreeficient.ByintroducingtheChristofiedesalgorithm，theschedulingpathisfurtheroptimized toensurefinding anaproximateoptimal solutionin polynomial time.Theexperimentalresultsshowthatthe proposed scheduling methodcannot onlyfindefectiveresourcescheduling strategiesinurban disasteremergencyresponse toimproveresourceutilizationand responsespeed，butalsooutperform themethodbasedonlocalobservationinboth motioncostandtotalcost，verifyingits advantages in emergency resource scheduling.

Keywords：emergencyresource scheduling；path optimization;machine learning;continuousapproximation model; K-means clustering algorithm;Christoffedesalgorithm

0 引言

自然災(zāi)害通常會對人們造成一定的安全威脅和財產(chǎn)損失，迅速向受災(zāi)區(qū)域部署必要的救濟(jì)物資是救災(zāi)行動的首要任務(wù)[1-2]。（剩余5661字）