本文關(guān)鍵詞： 選址 多目標(biāo)決策 成本費(fèi)用 NSGA-Ⅱ　出處：《運(yùn)籌與管理》2014年04期 　論文類型：期刊論文

【摘要】：應(yīng)急物資儲備庫選址問題是在近年世界災(zāi)害多發(fā)的現(xiàn)實(shí)背景下產(chǎn)生的,根據(jù)具體選址問題特點(diǎn)建立了多目標(biāo)選址決策模型。該模型綜合考慮了兩種災(zāi)害風(fēng)險(xiǎn)下儲備庫的成本費(fèi)用、覆蓋效率以及對重點(diǎn)地區(qū)的備用覆蓋,以使模型更加符合實(shí)際目標(biāo)及約束情況。算法設(shè)計(jì)上,首次采用帶精英策略的非支配排序遺傳算法(Fast and elitist Non-dominated Sorting Genetic AlgorithmⅡ,NSGA-Ⅱ)解決儲備庫多目標(biāo)選址問題,得到了Pareto非劣解分布并同不帶精英策略的常規(guī)NSGA算法下的仿真結(jié)果進(jìn)行對比分析。驗(yàn)證了模型的可行性以及NSGA-Ⅱ在解決儲備庫多目標(biāo)選址問題的有效性。
[Abstract]:The problem of the location of the emergency material reserve was created under the realistic background of the frequent disasters in the world in recent years. According to the characteristics of the specific location problem, a multi-objective location decision model is established, which considers the cost, coverage efficiency and reserve coverage of the reserve bank under two kinds of disaster risks. In order to make the model more accord with the actual target and constraint. In the design of the algorithm, Fast and elitist Non-dominated Sorting Genetic Algorithm 鈪，

本文編號：1509162