物流科技
物流科技
물류과기
LOGISTICS MANAGEMENT
2014年
11期
1-3,11
,共4页
应急物流%车辆调度%免疫粒子群算法
應急物流%車輛調度%免疫粒子群算法
응급물류%차량조도%면역입자군산법
emergency logistics%vehicle routing problem%im-mune particle swarm algorithm
以应急物流为背景，通过分析应急物流车辆调度问题的特点，在满足时间限制条件的基础上充分考虑车辆的载重和体积的限制，建立以运输距离最短和运输车辆最少的双目标车辆调度模型，并用免疫粒子群算法实现对模型的求解，来验证模型和算法的可行性和有效性。
以應急物流為揹景，通過分析應急物流車輛調度問題的特點，在滿足時間限製條件的基礎上充分攷慮車輛的載重和體積的限製，建立以運輸距離最短和運輸車輛最少的雙目標車輛調度模型，併用免疫粒子群算法實現對模型的求解，來驗證模型和算法的可行性和有效性。
이응급물류위배경，통과분석응급물류차량조도문제적특점，재만족시간한제조건적기출상충분고필차량적재중화체적적한제，건립이운수거리최단화운수차량최소적쌍목표차량조도모형，병용면역입자군산법실현대모형적구해，래험증모형화산법적가행성화유효성。
In this study, based on previous findings, with the emergency logistics as the background, according to the char-acteristics of emergency vehicle scheduling, a multi-objective vehicle scheduling model of emergency supplies with the ob-jectives of the shortest distance and the least number of vehi-cles is established, then uses the immune particle swarm algo-rithm to solve the model, at last through empirical research to verify the feasibility and effectiveness of the proposed model and algorithm.
