我国突发自然灾害应急救灾物资配送系统优化研究
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摘要
我国是世界上自然灾害发生较多的国家之一,经常发生洪水、地震、台风、泥石流、生物灾害、禽流感等自然灾害。如1998年长江的大洪水、2003年的SARS、2005年的新疆地震、2008年初的南方低温雨雪冰冻灾害和2008年5月12日的汶川特大地震等自然灾害。尽管我国政府及相关组织有减灾防灾的预案,但目前所支出的物流成本是巨大的。在突发性自然灾害造成的巨大人员伤亡和财产损失中,由于低效的应急物流配送造成的损失约占总损失的15%至20%。如SARS造成的损失总额达176亿美元,其中应急物流配送造成的损失约30亿美元。
     近年来,突发自然灾害救助问题得到了我国政府高度重视,1998年张北地震后民政部将国家级(中央级)救灾储备库由原来的8个增加到现在的10个。2008年“5.12”大地震后,民政部联合发改委做了新的规划,将国家级救灾物资储备库由10个增加到24个,目前这个规划正在顺利实施。同时各省、自治区、直辖市相继建立了31个省级储备库,灾害多发市、县也相继建立了各自的储备库,储存物资数量和质量水平都有较大提高。2006年1月10日发布了《国家自然灾害救助应急预案》,该预案在应对2008年初我国南方低温雨雪冰冻灾害的过程中起到了重要作用。尽管在应对突发自然灾害方面已取得了很大的成就,但目前还没有解决灾害救助物流的时间过长、成本过大的问题。
     本文首先针对涉及到的相关概念,如突发自然灾害、应急物流以及突发自然灾害救助应急物流等进行界定,然后从以下四个方面进行研究:突发自然灾害受灾程度等级评价研究、突发自然灾害救助应急物资需求研究、突发自然灾害救助应急物资配送车辆调度问题识别及网络拓扑结构研究以及突发自然灾害应急救助物资配送车辆路径优化模型研究。
     在突发自然灾害受灾程度等级评价的研究中,首先讨论了国内外突发自然灾害受灾程度等级评价的研究现状,并进一步分析了我国突发自然灾害受灾程度等级评价系统的特点、存在的问题以及指标构建的原则;其次建立了突发自然灾害受灾程度评价指标体系,即多维度多层次评价指标体系;再次对突发自然灾害受灾程度评价的方法进行比较、选择;最后以“碧利斯”台风为例,运用选择的评价方法对突发自然灾害受灾程度评价进行实证研究。
     在突发自然灾害救助应急物资需求的研究中,首先分析了突发自然灾害应急救助物资的概念和特点;其次分别运用案例推理和BP神经网络两种方法对突发自然灾害应急救助物资的需求进行预测;最后进行了实例验证,并提出了区域突发自然灾害应急救助物资的来源和需求平衡机理。
     在针对突发自然灾害救助应急物资配送车辆调度问题及网络拓扑结构的研究中,首先,本文主要分析了国内外应急物资配送研究的现状,包括模型的建立和模型的算法设计与求解;然后建立了突发自然灾害救助应急物流配送的网络拓扑结构,包括三种:只考虑公路运输的“最后一公里问题”、某地区只考虑公路运输和区域内多种运输方式的综合运输,为对救助物资配送车辆路径优化模型的研究奠定了基础。
     在突发自然灾害应急救助物资配送车辆路径优化模型的研究中,首先对问题进行描述、对模型边界条件进行界定与说明,在此基础上构建了应急救助物资配送车辆路径优化模型;其次本文对求解模型的算法——遗传算法的特点及适用性进行了分析;最后,运用遗传算法对所建立的应急救助物资配送车辆路径优化模型进行了求解和实例验证。
China has one of the most natural disasters in the world, there are many natural disasters happened frequently, including floods, earthquakes, typhoons, landslides, biological hazards and avian flu, such as the flood broke out in Yangtze river in 1998, the "SARS"spreaded in 2003, the earthquake happened in Xinjiang Province in 2005, the freeze disaster appeared in the southern part of China in 2008. Although our government and related organizations have already issued preplan about disaster prevention and reduction, the expenditure of the logistics cost is huge. In the great casualties and property losses which are caused by sudden natural disasters, the losses caused by inefficient emergency logistics makes up the total loss of 15% to 20%.For example,"SARS" lost totaling 17.6 billion, including the lost of contingency logistics and distribution about 30 billion dollars.
     In recent years, sudden natural disaster relief issue has raised China's government's great attention. In 1998 after the Zhangbei earthquake the national Ministry of Civil Affairs (central level) increased the original pool of 8 to 10 now.After the 2008 "5.12" earthquake, the Joint Development and Reform Commission Ministry of Civil Affairs made a new program, from which the national pool of relief supplies added to 24 from 10. Currently, the smooth implementation of this plan is in the process. Meanwhile the provinces, autonomous regions and municipalities have established a pool of 31 provincial-level, disaster-prone cities and counties have also established their own repository, the quantity and quality of storage material has greatly improved.
     On January 10 in 2006, the government also issued a "national natural disaster relief emergency plan, "which played an important role in dealing with the southern cold snow and ice storms happening in 2008.Although great achievements on burst natrual disasters have been made, the questions of the longer logistics time and the more logistics cost in disaster relief are still not solved.
     Firstly, the paper defines some words, such as sudden natural disasters, emergency logistics according to the related concepts.Secondly, the paper begins to do the research from the following four aspects:"The research on the evaluation of the degree of unexpected natural disasters", "The research on the demand of relief goods and materials of unexpected natural disasters", "A network topology based on sudden natural disaster relief emergency logistics distribution"and "The model of vehicle routing for the distribution of emergency aid".
     Affected by sudden natural disasters in the evaluation of the degree level study.First discussed the research grade evaluation about the extent of domestic and foreign victims of sudden natural disasters, and further analyzed the features of the level evaluation system about the sudden natural disasters and disaster degree, problems and the principle of indicators'building. Second, established the level evaluation system about the sudden natural disasters and disaster degree, that is multi-dimensional and multi-level evaluation index system.Third, compared and choosed the method of the sudden natural disasters and disaster degree evaluation.Finally, used the selected evaluation methods to research the sudden natural disasters and disaster degree evaluation and prove it true, for example "Bilis" Typhoon.
     In the study of the demand for emergency supplies to sudden natural disasters. First, analysis the characteristics and the conception of the emergency supplies to sudden natural disasters; followed by the use of case-based reasoning method and BT neural network ways to predict the requirements of the emergency supplies to sudden natural disasters; finally, carry out an empirical study and proposed the source and demand balance mechanism to the regional emergency aid of sudden natural disasters.
     Against the problem of scheduling the vehicle transporting emergency relief materials during sudden natural disasters. And the study of network topology.First, this study analyzes the present situation about the distribution of emergency supplies at home and abroad including establishment of a model and the solution and algorithm about the model.And then create a network topology, on sudden natural disaster relief emergency logistics distribution.Concerning three types:only consider the road transport of the "last mile problem ", a region considers only within the road transport and a regional integrated transport using multi-modal ways.
     Laying the foundation on relief supplies for the Vehicle Routing optimization mode.In the study about the model of vehicle routing for the distribution of emergency aid.First, from two aspects about the description of the problem and the definition about model boundary conditions establish the emergency relief materials distribution vehicle routing optimization model.Second, this paper analyzes the characteristics and applicability of algorithm, genetic algorithms, for solving the mode.Finally, using the genetic algorithm to solve and empirical research the established distribution of emergency relief supplies for vehicle routing optimization model.
引文
[1]龚英.从东南亚海啸看我国灾害救助物流[J].经济物流.2005,14(6):44-47.
    [2]汶川地震灾后重建全国大决战(数据篇)[J].领导决策信息.2008,(26):36-44.
    [3]民政系统应对低温雨雪冰冻灾害专题网站[EB/OL]:http: //www.mca.gov.cn/article/special/xz/.
    [4]何明珂.应急物流的成本损失无处不在[J].中国物流与采购.2003(23):18-19.
    [5]高建国等.国家救灾物资储备体系的历史和现状[J].国际地震动态.2005(4):5-12.
    [6]国务院.国家自然灾害救助应急预案[EB/OL].中央政府门户网站(http://www.gov.cn),2006.1.10.
    [7]闪淳昌,周玲.从SARS到大雪灾:中国应急管理体系建设的发展脉络及经验反思[J].甘肃社会科学.2008,(5):40-44.
    [8]胡鞍钢.汶川地震灾害评估及灾区重建分析报告[J].建材发展导向.2008(3):8-12.
    [9]M.Erdik, N.Aydinoglu, Y.Fahjan, K.Sesetyan, M.Demircioglu, B.Siyahi, E.Durukal, C.Ozbey, Y.Biro,H.Akman and O.Yuzugullu.Earthquake risk assessment for Istanbul metropolitan area. Earthquake Engineering and Engineering Vibration.June,2003,Vol.2,No.1:P1-23.
    [10]Ambr.,NN,吴占杰.地中海北部地震灾害和易损性:美国科林斯地震序列[J].国际地震动态.1991(1):29-32.
    [11]Mary W Downton,Roger APielke.How accurate are disaster loss data? The case of U.S. flood damage [J].Natural Hazards.2005,35 (2):211-228.
    [12]赵阿兴,马宗晋.自然灾害损失评估指标体系的研究[J].自然灾害学报.1993,(03):1-7.
    [13]李祚泳,邓新民.自然灾害的物元分析灾情评估模型初探[J].自然灾害学报,1994(04):28-33.
    [14]王琛,何琬,程六满.基于AHP/DEA的自然灾害损失评估模型初探[J].中国管理科学.2007,(15):25-28.
    [15]吴红华,李正农,灾害损失评估的区间数模糊综合评判方法[J].自然灾害学报.2006,(15):149-153.
    [16]Rathi,A.K,R.L.Church,and R.S. Solanki.Allocating Resources to Support a Multi-commodity Flow with Time Windows [J].Logistics and Transportation Review.1993, Volume 28:167-188.
    [17]Equi L,G. Gallo,S. Marziale and A.Weintraub. A Combined Transportation and Scheduling Problem[R].Working Paper,Pisa University,Pisa,Italy.1996.
    [18]Quentin Wodon and Saul S. Morris.The Allocation of Natural Disaster Relief Funds: Hurricane Mitch in Honduras. World Development[J].July 2003,Volume 31.Number 7:1279-1289.
    [19]Trevor Hale and Christopher R. Moberg. Improving supply chain disaster preparedness A decision process for secure site location [J].International Journal of Physical Distribution & Logistics Management.2005,Volume 35:195-207.
    [20]Hoong Chuin Lau,Melvyn Sim,Kwong Meng Teo.Vehicle routing problem with time windows and a limited number of vehicles.European Journal of Operational Research 2003 Volume 148: 559-569.
    [21]Linet Ozdamar,Ediz Ekinci and Beste Kucukyazici.Emergency logistics planning in natural disasters.Annals of Operations Research,July,2004,Volume 129:217-245.
    [22]Ghiani G.,Guerriero F, Laporte G,Musmanno R. Real-time vehicle routing:Solution concepts,algorithms and parallel computing strategies.European Journal Of Operational Research.November 2003,Volume 151:1-11.
    [23]Ikou Kaku,Yiyong Xiao,Guoping Xia.The deterministic annealing algorithms for vehicle routing problems.International Journal of Smart Engineering System Design.2003 Volume 5: 327-339.
    [24]Brandao Jose.A tabu search algorithm for the open vehicle routing problem.European Journal of Operational Research 2004 vol.157:552-564.
    [25]Zeynep Ozyurt,Deniz Aksen and Necati Aras.Open Vehicle Routing Problem with Time Deadlines:Solution Methods and an Application.Operations Research Proceedings 2005 Selected Papers of the Annual International Conference of the German Operations Research Society (GOR).Bremen.September 7-9,2005:P73-79.
    [26]卢安文等.紧急情况下的物流配送模型[J].西南石油学院学报.2003,25(1):80-83.
    [27]刘春林等.一类应急物资调度的优化模型研究[J].中国管理科学.2001,3:29-36.
    [28]戴更新,达庆利.多资源组合应急调度问题的研究[J].系统工程理论与实践.2000,2(9):52-55.
    [29]傅克俊,王旭坪,胡祥培.基于突发事件的物流配送过程建模构想[J].物流技术.2005,10:263-266.
    [30]牛永量,王金妹.物流配送车辆路线求解算法.交通运输工程学报.2006,6(2):83-87.
    [31]李军.有时间窗的车辆调度问题的网络启发式算法.系统工程.2006,10(7): 66-71.
    [32]樊建华.基于免疫遗传算法的车辆路径优化问题[J].计算机工程与应用.2006,10(4):210-213.
    [33]李大卫.改进的遗传算法在车辆调度问题中的应用[J].系统工程学报.2006,(3): 28-34.
    [34]李全亮.免疫算法在带时间窗的车辆路径问题中的应用[J].系统工程理论与实践.2006,20(10):119-124.
    [35]阎庆,鲍远律.新型遗传模拟退火算法求解物流配送路径问题[J].计算机应用.2004,27(4) 261-263.
    [36]李向阳.遗传算法求解VRP问题[J].计算机工程与设计.2004,31(5):271-276.
    [37]赵建有,闰旺,胡大伟.配送网络规划蚁群算法[J].交通运输工程学报.2004,4(3):79-81.
    [38]张潜,高立群,胡祥培.集成化物流中的定位配给问题的启发式算法[J].东北大学学报(自然科学版).2004,25(7):637-640.
    [39]张波,叶家玮,胡郁葱.模拟退火算法在路径优化问题中的应用[J].中国公路学报.2004,17(1):79-51.
    [40]NOAA.http://www.csc.noaa.gov/vata/glossary.html#d.[EB/OL].
    [41]FEMA.Definitions of Terms [M].Washington,DC:FEMA,1990.
    [42]Pearce L.An Integrated Approach For Community Hazard,Impact,Risk and Vulnerability Analysis:HIRV[D].University of British Columbia,2000.
    [43]史培军.三论灾害研究的理论与实践[J].自然灾害学报.2002,1(3):1-9.
    [44]United Nations ISFDR. Living With Risk:A Global Review of Disaster Reduction Initiatives (preliminary version) [M].Geneva:UN ISDR,2002.
    [45]中华人民共和国民政部救灾救济司.国家自然灾害救助应急预案.2007年12月,北京.
    [46]汤爱平,谢礼立等.自然灾害的概念、等级[J].自然灾害学报.1999,8(3):61-65.
    [47]沙克兴.台湾自然灾害风险管理与保险机制之研究[D].台湾:中南大学,2007.
    [48]自然灾害情况统计制度.中华人民共和国民政部办公厅.2008年5月7日,北京.
    [49]徐好民.灾害研究中的灾异研究[J].灾害学.1992,7(2):88-90.
    [50]洪水与保险[R].慕尼黑再保险公司,1997年.
    [51]罗元华.论自然灾害的基本属性与减灾基本原则.中国地质灾害与防治学报.第8卷.第1期,1997年3月.
    [52]中华人民共和国国务院新闻办公室.中国的减灾行动.2009年5月,北京.
    [53]S.M.Hong-MinhS, MDisney&M.M.Naim.The Dynmaies of Emergeney Transshipment Supply Chains[J].International Journal of Physieal Distribution & Logisties Management.2000, Vol.30 Issue 9, p788 29.
    [54]PhiliP T.Evers.Filling Customer Orders from Multiple Locations[J].A Comparison of Pooling Methods. Jounral of Business Logisties 1999. Vol.20, Issue 1, P121-19p.
    [55]张志,匡兴华,晏湘涛.美军物流系统优化战略研究与启示.物流技术.2004,6:1-4.
    [56]欧忠文,王会云,姜大立等.应急物流.重庆大学学报.2004,27(3):164-167.
    [57]黄洪涛.应急物流系统研究.大连海事大学.2006年3月.
    [58]蓝贵兵.云南省粮食应急物流系统研究.昆明理工大学.2007年10月.
    [59]张兴凯,李彪.城市应急信息系统建设与开发.劳动保护.2004,4:26-29.
    [60]Tuzun D, Burke L I.A two-phase tabu search approach to the location routing Problem [J].European Journal of Operational Research.1999,116:87-99.
    [61]Albareda-Sambola M, Diaz J A, Fernadez E.A compact model and tight bounds for a combined location routing Problem[J].Computers & Operations Research.2005,32:407-428.
    [62]Lin C K Y, Chow C K, Chen A. A location-routing-loading problem for bill delivery services [J].Computers & Industrial Engineering.2002,43:5-25.
    [63]张静,刘鲁,陈安.选址一路线问题的建模与算法研究明.北京航空航天大学学报(社科版).2002,15(1):33-37.
    [64]孙会君,高自友.考虑路线安排的物流配送中心选址双层双层规划模型及求解算法[J].中国公路学报.2003,16(2):115-119.
    [65]张长星,党延忠.定位—运输路线安排问题的遗传算法研究[J].计算机工程与应用.2004(12):65-68,183.
    [66]吕新福,蔡临宁,曲志伟.废弃物回收物流中的选址—路径问题[J].系统工程理论与实践.2005(5):59-4.
    [67]邱晗光,张旭梅.基于改进粒子群算法的开放式定位—运输路线问题研究[J].中国机械工程.2006,17(22):2359-2361.
    [68]张潜,李钟慎,胡祥培.基于模糊优化的物流配送路径(MLRP)问题研究.控制与决策.2006,21(6):689-692.
    [69]Dignan, L. Tricky Currents.Tsunami Relief is a Challenge When Supply Chains are Blocked by Cows and Roads don't Exist[J].Baseline.2005,1 (39):30.
    [70]徐琴.突发公共事件应急物流系统优化中的定位—路径问题研究[D].西南交通大学.2008年12月.
    [71]张斌.应急物流配送车辆调度优化研究.大连海事大学.2007年3月.
    [72]Long D. Logistics for Disaster Relief:Engineering on the Run[J].IIESolutions.1997,29 (6) 26-29.
    [73]Beamon B M.Humanitarian Relief Chains:Issues and Challenges[A].Proceedings of the 34th International Conference on Computers & Industrial Engineering. San Francisco, CA, USA.2004, 368-373.
    [74]Arminas D. Supply Lessons of Tsunami Aid[J]. Supply Management.2005,10 (2):14.
    [75]缪成.突发公共事件下应急物流中的优化运输问题的研究[D].同济大学.2007年5月.
    [76]范厚明,赵彤,刘妍.我国突发自然灾害救助应急物流配送机制研究.大连理工大学学报(社会科学版).第29卷第4期.2008年12月.
    [77]杨锋.我国自然灾害应急物流体系构建研究[D].北京交通大学.2008年11月.
    [78]韦保新.提高救灾物资储备应急保障能力的思考.中国减灾.2006,12:38-40.
    [79]Judith Stoner Halpern, Mary W.Chaffee.Disaster Management and Response. Nursing Clinics of North America.September 2005.
    [80]龙跃.突发性灾害救助中的应急物流管理探索与研究.江苏商论.2008,3:48-49.
    [81]杨子健,李威.发挥国家物资储备优势参与救灾物资储备.宏观经济管理.2007,9:20-22.
    [82]民政事业统计季报:http://cws.mca.gov.cn/accessory/200804/1208833426012.htm.
    [83]我国自然灾害评估中亟待解决的问题[J].地学前缘(中国地质大学,北京).1996(4):212-218.
    [84]国外自然灾害应急物流管理的启示[J].交通企业管理.2008,(10):6-7.
    [85]刘婧,史培军,葛怡等.灾害恢复力研究进展综述[J].地球科学进展.2006,21(2):211-218.
    [86]Atsuko Nonomura, Takuro Masuda, Hitoshi Moriya. Wildfire damage evaluation by merging remote sensing with a fire area simulation model in Naoshima, Kagawa, Japan.International Consortium of Landscape and Ecological Engineering,8 September 2007(3):109-117.
    [87]Eric Maille, Bernard Espinasse.Decision Support for Forest Fire Risk Evaluation:Dynamic Modeling and Spatio-Temporal Integration.Environment Identities and Mediterranean Area.2006, ISEIMA'06,9-12 July 2006:40-45.
    [88]孙峥.城市自然灾害定量评估方法及应用[D].山东:中国海洋大学.2008.
    [89]杨仕升.自然灾害等级划分及灾情比较模型探讨[J].自然灾害学报.1997,2(06):8-13.
    [90]庆朝,张庆珩.灾害损失及灾害等级的确定[J].灾害学.1996,3(11):1-5.
    [91]陈善雄,徐海滨,秦尚林等.层次分析法在斜坡失稳灾害预测评估中的应用[J].土工基础.2005,19(4):33-3.
    [92]陈玉明.基于层次分析法的聚合物材料火灾危险性评估[J].消防技术与产品信息.2006,(3):13.16.
    [93]侯遵泽,杨瑞.基于层次分析方法的城市火灾风险评估研究[J].火灾科学.2004,13(4):203-208.
    [94]肖辞源.工程模糊系统[M].北京:科学出版社.2004.
    [95]陈敏刚,董军,张丽亮等.AHP和模糊综合评判在灾难恢复能力评估中的应用[J].计算机工程.2006,32(18):135-137.
    [96]胡忠日,孙迎霞,方正.高层建筑火灾危险性模糊综合评估初探[J].消防科学与技术.2003,22(5):354-356.
    [97]纪燕新,熊艺媛,麻荣永.风暴潮灾害损失评估的模糊综合方法[J].广西水利水电.2007,(2):16-19.
    [98]刘加龙,吕希奎.模糊综合评判法在泥石流灾度评价中的应用[J].地质科技情报.2001,20(4):86-88.
    [99]潘华盛,董淑华.黑龙江省洪水灾害等级评估模型——模糊综合评价法[J].黑龙江气象.2000(2):14.
    [100]冯定原,吕新.伊犁地区畜牧气象灾害灰色关联分析综合评估[J].南京气象学院学报.1997,20(1):126-130.
    [101]刘伟东,扈海波,程丛兰等.灰色关联度方法在大风和暴雨灾害损失评估中的应用[J].气象科技.2007,35(4):563-566.
    [102]郑宇,邓民宪.地震直接损失的多因素灰色关联分析[J].自然灾害学报.2002,11(4):106-111.
    [103]陈亚宁,杨思全.自然灾害的灰色关联灾情评估模型及应用研究[J].地理科学进展.1999,18(2):158-162.
    [104]魏一鸣,万庆.基于神经网络的自然灾害灾情评估模型研究[J].自然灾害学报.1997,6(2):1-6.
    [105]金菊良,魏一鸣.基于遗传算法的洪水灾情评估神经网络模型探讨[J].灾害学.1998,13(2):6-11.
    [106]冯平,张波.基于人工神经网络的干旱程度评估方法[J].系统工程理论与实践.2000,20(3):141-144.
    [107]黄涛珍,王晓东.BP神经网络在洪涝灾损失快速评估中的应用[J].河海大学学报:自然科学版.2003,31(4):457-460.
    [108]薛彦广,沙文钮,徐海斌等.人工神经网络在风暴潮增水预报中的应用[J].海洋预报.2005,22(2):33-37.
    [109]赵源,刘希林.人工神经网络在泥石流风险评价中的应用[J].地质灾害与环境保护.2005,16(2):135-138.
    [110]易燕明.用灰色关联分析和主成分分析方法对旱灾等级进行综合评估[J].广东气象.1998,(4):33-35.
    [111]范文,刘雪梅,高德彬等.主成分分析法在地质灾害危险性综合评价中的应用[J].西安工程学院学报.2001,23(4):53-57.
    [112]Cutter S L, Boruff B J, Shirley W L.Social vulnerability to environmental hazards [J].Social Science Quarterly.2003,84(2):242-261.
    [113]许树柏.使用决策方法—层次分析法原理[M].天津大学出版社,1988年.
    [114]袁嘉祖.灰色系统理论及其应用[M].科学出版社.1991年.
    [115]A.Charnes, W.W.Cooper, E.Rhods.Measuring the effieieney of deeision making units[J].Euopean Journal of operational Researeh.1978,2(6):429-444.
    [116]王琛,何琬,程六满.基于AHP/DEA的自然灾害损失评估模型初探[J].中国人民大学经济学院.中央财经大学会计学院.2007年10月.
    [117]T.L.Satty.The Analytic Hierarchy Proees[M].NewYork:McGraw—hill,1980.
    [118]Sinuany-Stern Z, MehrezA, HadadY.AnAHp/DEA methodology for ranking decision making units[J].International Transaetion in operational Research.2000,7(2):109-124.
    [119]和豪涛,胡大伟,崔亚雷.基于DEA/AHP的供应商选择方法[J].长安大学汽车学院.2006年.
    [120]陈红梅.基于AHP和DEA的装备制造业行业技术创新能力综合评价[J].2009年.
    [121]吴红华,李正农.灾害损失评估的区间数模糊综合评判方法[J].湖南大学.2006年11月.
    [122]徐改丽,史文雷,郭欣荣.区间数排序的一种新方法[J].广西大学数学与信息科学学院.2006年8月.
    [123]郭瑞鹏.应急物资动员决策的方法与模型研究[D].北京理工大学.2006年8月29日.
    [124]孙明玺,吴俊卿,艾国强等.实用预测方法与案例分析[M].北京:科学技术文献出版社,1993.
    [125]张有为.预测的数学方法[M].北京:国防工业出版社,1991.
    [126]桑松.船型方案论证与智能决策方法研究[D].大连理工大学博士论文,2002.
    [127]刘豹.将来事件的可预测[J].系统工程学报.1993,8(2):111-117.
    [128]姜丽红.智能化预测支持系统(IFSS)的理论与方法的研究[D].天津大学博士论文,1996.
    [129]Shouri F.An ExPert System for Predicting Gas Demand:ACase Study.Omega.1993,213: 307-317.
    [130]杜栋,庞庆华.现代综合评价方法与案例精选[M].北京:清华大学出版社,2006.
    [131]李磊.地震应急救助现场需求分析及物资保障[J].防灾科技学院学报.2006,8(3):15-18.
    [132]陈丽君.地震灾害中的应急物流管理决策问题研究[D].武汉科技大学,2008年11月5日.
    [133]孙焰.现代物流管理技术——建模理论及算法设计[M].上海:同济大学出版社,2004.
    [134]姜丽红,刘豹.案例推理在智能化预测支持系统中的应用研究[J].决策与决策支持系统.1996,6(4):63-69.
    [135]Roger C S, David BL.Creativity and Learning in aCase-based Explainer.AI1989,40(1-3): 353-385.
    [136]Evangelos Simoudis Using case-based retrieval for customer technical support [M].IEEE Expert, October1992:7-12.
    [137]ShiZhongzhi, et al.Applying case-based reasoning to engine oil design [J].Artificial Intelligence in Engineering.1997,11:167-172.
    [138]A shim Bose, Maria Gini A case-based approach to planar linkage design[J].Artificial Intelligence in Engineering.1997,11:107-119.
    [139]Kevin D.A shley.Edwian L.Rissland.A case-based approach to modeling legal expertise [J].IEEE Export.Fall 1998:70-77.
    [140]汪季玉,王金桃.基于案例推理的应急决策支持系统研究[J].管理科学.2003,16(6):46-49.
    [141]张良均,曹晶,蒋世忠编.神经网络实用教程[M].机械工业出版社.2008,2月第二版.
    [142]Kemball-Cook D, Stephenson R.Lesson in logistics from Somalia [J].Disaster.1984,8:57-66.
    [143]Ray J. A multi-period liner programming modal for optimally scheduling the distribution of food-aid in West Africa [D].Knoxville:University of Tennessee,1987.
    [144]Eldessouki W M.Some development in transportation network analysis and design with application to emergency management problems [D].Partial:North Carolina State University,1998.
    [145]Ozadamar L.Emergency logistics planning in natural disasters [J].Annals of Operation Research.2004,129:218-219.
    [146]计雷,池宏等.突发事件应急管理[M].北京:高等教育出版社,2005:100-101.
    [147]卢安文,谢祥俊等.紧急情况下的物流配送模型[J].西南石油学院学报.2003,1:23—25.
    [148]刘春林,何建敏等.应急系统多出救点的选择问题[J].系统工程理论与实践.2001,11:89-94.
    [149]周宏敏.基于蚁群算法的铁路车辆路径问题研究[D].四川.西南交通大学,2008.
    [150]刘霞.车辆路径问题的研究[D].湖北.华中科技大学,2007.
    [151]曹二保.物流配送车辆路径问题模型及算法研究[D].湖南.湖南大学.2008.
    [152]刘云忠,宣慧玉.车辆路径问题的模型及算法研究综述[J].管理工程学报.2005,19(01):124-130.
    [153]蒋毅.基于蚁群优化算法的车辆路径问题研究[D].吉林.吉林大学,2007.
    [154]Dantzig G., Ramser J.The truck dispatching problem.Management Science.1959 (6):80-91.
    [155]Clarke G., Wright J.W.Scheduling of vehicles from a central depot to a number of delivery points.Operations Research.1964,12:568-581.
    [156]Czech Z.J., Czarnas P. Parallel simulated annealing for the vehicle routing problem with time windows.In:Proceedings of 10th Euromicro Workshop on Parallel.Distributed and Network-based Processing.2002(1):376-383.
    [157]Tong Z, Li N, Sun D.B.Genetic algorithm for vehicle routing problem with time window with uncertain vehicle number.In:Proceedings of the 5'World Congress on Intelligent Control and Automation.2004:15-19.
    [158]Cordeau J-F, Laporte G.Tabu search heuristics for the vehicle routing problem.Technical Report G-2002-15.Group for Research in Decision Analysis(GERAD).Montreal.2002.
    [159]Bell J.E, Mcmullen P.R.Ant colony optimization techniques for the vehicle routing problem.Advanced Engineering Informatics.2004,18(1):41-48.
    [160]Yoshiike N, Takefuji Y.Vehicle Routing Problem Using Clustering Algorithm by Maximum Neural Networks.In:Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials.1999:1109-1113.
    [161]Gendreau M. Hertza A, Laporte G. A tabu search heuristic for the vehicle routing problem.Management Science.1994,40(10):1276-1289.
    [162]Taillard E.Parallel interative search method for vehicle routing problems.Networks.1993,23: 661-673.
    [163]Lawrence S, Mohammad A.Parametric experimentation with a genetic algorithmic configuration for solving the vehicle routing problem.In:Proceedings of Annual Meeting of the Decision Sciences Institute.1996:488-490.
    [164]Chen R, Gen M. Vehicle routing problem with fuzzy due-time using genetic algorithms. Japanese Journal of Fuzzy Theory and Systems.1995,7(5):1050-1061.
    [165]Gen M, Cheng R. Genetic Algorithms & Engineering Optimization. New York:Wiley.2000
    [166]William Ho, George T S H, Ping Jib, Henry C W Lau.A hybrid genetic algorithm for the multi-depot vehicle routing problem.Engineering Applications of Artificial Intelligence(2007).
    [167]Geonwook Jeon, Herman R Leep, Jae Young Shim.A vehicle routing problem solved by using a hybrid genetic algorithm.Computers & Industrial Engineering (2007).
    [168]Doris Saeza, Cristian E Cortes, Alfredo Nueza.Hybrid adaptive predictive control for the multi-vehicle dynamic pick-up and delivery problem based on genetic algorithms and fuzzy clustering.Computers and Operations Research(2007).
    [169]Ali Haghania, Soojung Jung.A dynamic vehicle routing problem with time-dependent travel times.Computers & Operations Research.2005, (32):2959-2986.
    [170]Osman I H.Metastrategy simulated annealing and tabu search algorithms for the vehicle routing problems. Annals of Operations Research.1993, (41):421-452.
    [171]Laporte G. Osman I.H, Metacheuristics in combinatorial optimization:a bibliography Ann. Operations Research.1996, (63):513-628.
    [172]Karl Doerner, ManfredGronalt, etc.Saving Ants for the Vehicle Routing Problem.
    [173]Marc Reimann, Karl Doerner and Richard F. Hartl.Analyzing a Unified Ant System for the VRP and Some of Its Variants.
    [174]李军,郭耀煌.物流配送车辆优化调度理论与方法.北京:中国物资出版社,2001.
    [175]李军.车辆调度问题的分派启发式算法.系统工程理论与实践.1999(1):27-33.
    [176]李军.车辆调度问题的网络启发式算法.系统工程.1999(2):66-1.
    [177]李大为.车辆路径问题的求解方法研究.系统工程.2004.
    [178]张涛,王梦光.遗传算法和3-OPT结合求解带有能力约束的VRP.东北大学学报.1999.
    [179]肖朋等.车辆路径问题的单亲遗传算法.计算机技术与自动化.2000.
    [180]霍雪丽等.车辆路径问题(VRP)的蚂蚁搜索算法.系统工程学报.2004.
    [181]魏俊华,王安麟.基于分段遗传编码的配送路径优化.工业工程与管理.2005.
    [182]尹晓峰,杜艳萍.车辆路径问题的蚁群算法研究.太原科技大学学报.2005.
    [183]曾勇,王宇平.用基于多目标决策的遗传算法解网络拓扑结构设计问题[J].计算机工程与应用.2003,7:101-103.
    [184]牧云志.基于遗传算法的网络拓扑结构的优化研究[D].浙江.浙江工业大学.2007.
    [185]周蓓.四川省民用航空网络的拓扑结构特征及其演化机制[J].经济地理.2006,26(4):577-580.
    [186]李楷,钟耳顺,曾志明,曹国峰.基于分层网络拓扑结构的最优路径算法[J].中国图像图形学报.2006,11(7):1004-1009.
    [187]程世东,刘小明,王兆赓.物流配送车辆调度研究的回顾与展望.交通运输工程与信息学报第2卷第3期.2004年9月,93-97.
    [188]李军,谢秉磊,郭耀煌.非满载车辆调度问题的遗传算法[J].系统工程理论方法应用.2000,9(3):234-238.
    [189]谢秉磊.基于遗传算法的TSP及其相关问题研究.西安:西南交通大学.1999.
    [190]J.H.Holland.Adaptation inNatute and Artificial Systems.MITPress.1992.
    [191]Gillet B, Miller L.A heuristic algorithm for the vehicle dispatch problem [J].Operational Research.1974,22:340-349.
    [192]DeJongkA.Ananalysis of the Behavior of a Class of Genetic Adaptive Systems.Ph.D Dissertation.University of Michigan.No.76-9381,1975.
    [193]高运良.基于免疫遗传算法的物流配送VRP求解[D].武汉:武汉科技大学.2007年4月.
    [194]丁刚,杨剑炜.天线阵列综合中的遗传算法应用综述[J].舰船电子工程.2006,154(4):26-30.
    [195]赵云珍.遗传算法及其改进[D].昆明理工大学.2005年1月10日.
    [196]Holland J.H.Genetic algorithms.Seientific Ameriean.1992.4:44-50.
    [197]Holland J.H.Adaptation in natural and arficial systems.Michigan:The University of Michigan Press.1995.
    [198]Goldberg D.E.Genetie Algorithms in Seareh.Optimization and Machine Learning Addision Wesley.1989.
    [199]RadelieffN.J.Equivalence class analysis of genetie algorithms.Complex systems.1991,5(2): 181-05.
    [200]Radelieff.NJ.The algebra of genetic algorithms.annals of maths and artificial Intelligence.1994,82:303-330.
    [201]R.E. Smith and A.A.Perelson.Using genetic algotithms to explore pattern recognition in the immune system.S.Forrest.Evolutionaty Computation.No.3(1993), pp.191-211.
    [202]Koza J R, Genetic programmingⅡ.Automatic Diseovery of Reusable Programs.MITpress.1994.
    [203]Koza J R, Genetic Programming.on the Programming of Computers by means of Natural Selection.MITPress.1992.
    [204]吴少岩,许卓群.遗传算法中遗传因子的启发式构造策略[J].计算机学报.1998年11月.
    [205]周明,孙树栋.遗传算法原理及应用[M].国防工业出版社,1999.
    [206]孙艳丰,王众托.遗传算法在优化问题中的应用研究进展[J].控制与决策.1996,P425-452.
    [207]林清国.基于混合遗传算法的有时间窗车辆路径问题研究[D].山东大学.2007年5月12日.
    [208]王万良.人工智能及其应用[M].北京:高等教育出版社.2005年.
    [209]陈杰.基于遗传算法的车辆调度问题解决方案[D].天津大学.2005年12月.
    [210]李敏强,寇纪淞,林丹等.遗传算法的基本理论与应用[M].北京:科学出版社.2002(3),9-44.

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