The article employed genetic algorithm to optimize nesting sequence so as to maximize the stock usage efficiency 采用遺傳算法來優(yōu)化排樣過程的零件調(diào)度問題,以材料的利用率為目標(biāo)函數(shù),產(chǎn)生一個(gè)優(yōu)化的零件排樣序列。
That is , except for the question mark s ability to say : " it is there or it isn t , " nothing in the dtd syntax seems to limit the number of occurrences of a given pattern whether a single subtag , or a nested sequence of them 即,除了問號(hào)有能力說: “有或沒有”以外, dtd語法中似乎沒有可以限制給定模式出現(xiàn)次數(shù)的東西(無論是單一子標(biāo)記還是嵌套的一系列) 。因此如何表達(dá)上面模式示例中1 - 5個(gè)
( 2 ) . calculating the optimal nesting sequence . this article , based on the current research status and characteristic of nesting problem , made a profound research in the nesting algorithms and brought out a set of algorithms to solve nesting problem 本文結(jié)合國內(nèi)外的研究現(xiàn)狀和排樣問題的自身特點(diǎn),針對(duì)任意形狀的二維不規(guī)則零件排樣問題的關(guān)鍵算法進(jìn)行了深入的研究,提出了一系列解決優(yōu)化排樣問題的算法。