針對戰(zhàn)時定點(diǎn)修理任務(wù)重、修理時間有限、約束復(fù)雜的問題,進(jìn)行了面向定點(diǎn)修理的戰(zhàn)時裝備維修任務(wù)多目標(biāo)動態(tài)調(diào)度研究。提出了戰(zhàn)時定點(diǎn)修理裝備維修任務(wù)調(diào)度軍事問題,考慮修理時間窗、非遍歷性等約束,構(gòu)建了戰(zhàn)時裝備維修任務(wù)多目標(biāo)動態(tài)調(diào)度模型。采取分步求解思路處理修理小組分配以及修理任務(wù)排序兩階段優(yōu)化問題,并從狀態(tài)轉(zhuǎn)移規(guī)則、信息素更新規(guī)則、先驗(yàn)信息獲取3個方面對最大最小螞蟻系統(tǒng)（max-min ant system,MMAS）算法進(jìn)行改進(jìn),結(jié)合變鄰域搜索（variable neighborhood search,VNS）算法增強(qiáng)算法的局部搜索能力,設(shè)計了基于Pareto改進(jìn)VNS-MMAS算法實(shí)現(xiàn)模型求解,并通過示例仿真驗(yàn)證了模型及算法的科學(xué)性與有效性。 

【文章來源】：系統(tǒng)工程與電子技術(shù). 2020,42(02)北大核心EICSCD

【文章頁數(shù)】：9 頁

【部分圖文】：

最優(yōu)解甘特圖

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