最優群體結構 的英文怎麼說
中文拼音 [zuìyōuqúntǐjiēgòu]
最優群體結構
英文
optimum population structure- 最 : 副詞(表示某種屬性超過所有同類的人或事物) most; best; worst; first; very; least; above all; -est
- 群 : Ⅰ名詞(聚在一起的人或物) crowd; group Ⅱ量詞(用於成群的人或物) group; herd; flock
- 體 : 體構詞成分。
- 結 : 結動詞(長出果實或種子) bear (fruit); form (seed)
- 構 : Ⅰ動詞1 (構造; 組合) construct; form; compose 2 (結成) fabricate; make up 3 (建造; 架屋) bui...
- 最優 : optimal; optimum最優策略 optimal policy; optimal strategy; 最優設計 optimum design; 最優值 optima...
- 群體 : 1. [生物學] population; colony2. [社會學] group
- 結構 : 1 (各組成部分的搭配形式) structure; composition; construction; formation; constitution; fabric;...
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The results showed that yield structure of the middling population treatment were the most excellent as a whole and its grain yield was the highest among the three treatments, while the dynamic of tiller and its formation into panicles, root - bleeding intensity / spikeltes, lai and its structure, dry matter accumulation and transportation were the most reasonable too
結果表明,中等群體處理的產量結構最優,在三處理中稻穀產量最高,其莖蘗消長與成穗、穎花傷流量、葉面積系數與結構以及干物質積累與轉運總體上最為合理。According to the shortage of ga converging to a local optimal solution because of reducing the diversity of individuals, the theory of biological immune system is cited, the immune operators including calculation the densities of antibodies, activating or suppressing antibodies and making the memory cell are designed, and effectively combined with ga operators
同時,針對遺傳演算法在收斂計算後期,由於種群趨向單一化,出現早熟現象而陷入局部最優解的缺點,借鑒生物原理的免疫系統,設計出抗體濃度計算、抗體的抑制/促進、構造記憶單元等多個免疫運算元,並與遺傳運算元進行有效結合。Based on above theoretical bases, in this paper an optimal control model of master / slave parallel genetic algorithm to solve dta problem is proposed. based on the drawing cluster with distributed storage and message passing system, this algorithm is implemented in the master / slave mode of the pvm parallel platform
在上述理論基礎上,實現了最優控制動態交通分配的主從式并行遺傳演算法,並在基於分散式存儲和消息傳遞體系結構的曙光機群系統下,應用并行編程環境pvm下master slave模式完成了上述演算法。A kind of heuristic information based on the dannenbring approach is introduced in the procedure of solution construction. the experiment shows that the stagnation step out mechanism and the pheromone trail limit mechanism can help ants stepping out of stagnation and the heuristic information is very effective, in addition, the eligibility trace mechanism in ant - q ( ) algorithm can greatly improve the performance of algorithm based on solution construction graph in arc mode
模擬試驗表明,信息素的結點模式總體優于孤模式;啟發式信息能較大改進演算法性能; acostag演算法的信息素蹤跡更新過程中的停滯狀態脫離機制以及信息素蹤跡限制機制能幫助螞蟻跳出局部最優解;此外antqo )演算法的資格跡機制能大大改進採用弧模式解構造圖的蟻群演算法性能。分享友人