【摘要】：軍用飛機(jī)的再次出動(dòng)保障活動(dòng)時(shí)間的長(zhǎng)短,對(duì)飛機(jī)作戰(zhàn)效能的發(fā)揮起到至關(guān)重要的作用。針對(duì)軍用飛機(jī)在多資源約束條件下再次出動(dòng)保障活動(dòng)要求達(dá)到最快捷的實(shí)際軍事需求,以軍用飛機(jī)再次出動(dòng)的部分任務(wù)為研究對(duì)象,提出了一種基于啟發(fā)式優(yōu)先規(guī)則與遺傳算法相結(jié)合的保障任務(wù)優(yōu)化新方法。首先,根據(jù)優(yōu)先規(guī)則確定對(duì)任務(wù)活動(dòng)次序進(jìn)行優(yōu)先規(guī)則編碼。根據(jù)合格節(jié)點(diǎn)判據(jù),實(shí)現(xiàn)完整的拓?fù)渑判�。然后利用遺傳算法對(duì)任務(wù)需求進(jìn)行初始化,根據(jù)優(yōu)先規(guī)則得到的編碼進(jìn)行遺傳算法的復(fù)制、交叉、變異。從而得到軍用飛機(jī)再次出動(dòng)準(zhǔn)備的最優(yōu)時(shí)間。最終通過(guò)提取軍用飛機(jī)再次出動(dòng)的七個(gè)任務(wù)進(jìn)行了試驗(yàn)驗(yàn)證,并且將結(jié)果與人工繪制的結(jié)果進(jìn)行對(duì)比。結(jié)果表明,基于啟發(fā)式的遺傳算法能夠滿足軍用飛機(jī)再次出動(dòng)準(zhǔn)備時(shí)間在多資源約束條件下,時(shí)間最短,具有很高的實(shí)用價(jià)值。
[Abstract]:The length of the operation time of the military aircraft plays an important role in the operation efficiency of the aircraft. In view of the requirements of military aircraft to redeploy support activities under multi-resource constraints to achieve the fastest actual military needs, this paper takes part of the tasks of military aircraft re-deployed as the object of study. A new guarantee task optimization method based on heuristic priority rule and genetic algorithm is proposed. First of all, priority rule coding is defined according to priority rules for the order of task activities. According to the criteria of qualified nodes, complete topological ranking is realized. Then the genetic algorithm is used to initialize the task requirements, and then the genetic algorithm is duplicated, crossed, and mutated according to the code obtained by the priority rules. Thus we can get the optimal time for the military aircraft to move again. Finally, seven missions of military aircraft are extracted and verified by experiments, and the results are compared with those of manual rendering. The results show that the heuristic-based genetic algorithm can meet the requirements of military aircraft re-launch preparation time under multi-resource constraints, the shortest time, and has a high practical value.
【作者單位】： 沈陽(yáng)航空航天大學(xué)自動(dòng)化學(xué)院;中航工業(yè)上海航空測(cè)控技術(shù)研究所故障診斷與健康管理技術(shù)航空科技重點(diǎn)實(shí)驗(yàn)室;沈陽(yáng)飛機(jī)設(shè)計(jì)研究所綜合后勤保障部;
【基金】：國(guó)家自然科學(xué)基金(項(xiàng)目編號(hào):51605309) 國(guó)防預(yù)研項(xiàng)目(項(xiàng)目編號(hào):A0520110023) 國(guó)防基礎(chǔ)科研項(xiàng)目(項(xiàng)目編號(hào):Z052012B002) 遼寧省自然科學(xué)基金聯(lián)合封閉基金(項(xiàng)目編號(hào):2014024003) 航空科學(xué)基金(項(xiàng)目編號(hào):20153354005)
【分類號(hào)】：E926;TP18
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本文編號(hào)：2469813