【摘要】：為提高震后應(yīng)急物資配送績(jī)效,針對(duì)應(yīng)急物資配送中心選址與配送車輛路徑安排的集成優(yōu)化問(wèn)題,綜合考慮應(yīng)急物資需求的模糊性、限制期和多次往返配送,有限數(shù)量不同類型的配送車輛,開(kāi)放式車輛路徑,有容量限制的臨時(shí)物流設(shè)施選址以及震后路網(wǎng)部分受損等特點(diǎn),以各物資需求點(diǎn)的應(yīng)急物資運(yùn)達(dá)時(shí)間之和以及系統(tǒng)總成本最小為目標(biāo),采用機(jī)會(huì)約束規(guī)劃方法建立了一個(gè)模糊多目標(biāo)開(kāi)放式定位-路徑問(wèn)題(LRP)優(yōu)化模型,并設(shè)計(jì)了一種結(jié)合啟發(fā)式規(guī)則的混合遺傳算法。最后,對(duì)該模型和算法進(jìn)行了數(shù)值驗(yàn)證,并通過(guò)與NSGA-Ⅱ多目標(biāo)遺傳算法的比較,證明該混合遺傳算法具有良好的性能,從而為解決震后應(yīng)急物資配送的模糊多目標(biāo)LRP提供了有效的方法。
[Abstract]:In order to improve the performance of emergency material distribution after the earthquake, aiming at the integrated optimization of the location of emergency material distribution center and the routing arrangement of distribution vehicle, the fuzziness of emergency material demand, the limitation period and the multiple round-trip distribution are considered synthetically. A limited number of different types of distribution vehicles, open vehicle paths, site selection of temporary logistics facilities with limited capacity and partial damage to the road network after the earthquake, Aiming at the sum of the time of arrival of emergency materials and the minimum total cost of the system, a fuzzy multi-objective open location-path problem (LRP) optimization model is established by using the opportunity-constrained programming method. A hybrid genetic algorithm combining heuristic rules is designed. Finally, the model and algorithm are numerically verified, and compared with NSGA- 鈪，

本文編號(hào)：2382168