multiobjective optimization

"multiobjective optimization"的翻譯和解釋

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例句與用法

Equality design method was used in numerical simulations , and multiobjective optimization method was used to design the scramjet nozzle configuration
通過均勻設計法設計仿真算例,并通過多目標優(yōu)化設計方法設計出了性能較好的噴管結(jié)構(gòu)。
At the heart of mdo problem is a multiobjective optimization problem . therefore , it is really valuable to research multiobjective optimization theory and technologies
因此開展多目標優(yōu)化技術研究在學術上和工程實際中都具有重大意義。
This paper discusses four sufficient optimality conditions for nonsmooth continuous - time nonliear multiobjective optimization problems under generalized convexity assumptions
在廣義凸性假設下,討論了非光滑連續(xù)時間非線性多目標優(yōu)化問題的四個最優(yōu)性充分條件。
Comparing with the result of other multiobjective evolutionary algorithms reveals that the algorithm is powerful in solving multiobjective optimization problems
與其它多目標進化算法求解結(jié)果的比較顯示了分布式多目標進化算法具有很強的求解多目標優(yōu)化問題的能力。
Sensitivity analysis in bilevel multiobjective optimization with perturbational parameters in lower level is considered , by using sensitivity analysis of set - valued optimization
摘要借助集值優(yōu)化問題的靈敏度分析，討論了上層無擾動，下層帶擾動參數(shù)的二層多目標最優(yōu)化問題的靈敏度分析。
The optimization design of dfc is expounded and the concept and method of multiobjective optimization are used to the upper stage solid rocket motor ( cpkm ) of a kind of launching vehicle
闡述了面向成本的優(yōu)化設計問題，并將多目標優(yōu)化概念和方法應用于某運載火箭上面級固體發(fā)動機( cpkm )方案設計。
This method seeks a compromise between the effectiveness and computation complexity of large scale complex multiobjective optimization problems , and it turns out to be an effective and practical method for this kind of problems
基于神經(jīng)網(wǎng)絡的交互式物理規(guī)劃在處理大規(guī)模問題的計算復雜性和有效性之間尋求了一種折衷，是處理大規(guī)模復雜工程優(yōu)化設計問題的有效、實用的方法。
The combination of the ann model of the designer ' s preference and the optimization procedure in this method generates the intelligent guiding for the multiobjective optimization process , and compromise programming is also used to find the final solution
建立pareto解到其評分值的映射的神經(jīng)網(wǎng)絡模型，以表達設計者的偏好。該神經(jīng)網(wǎng)絡模型和優(yōu)化過程的結(jié)合，實現(xiàn)了精確尋優(yōu)，并借助于折衷規(guī)劃得到最后的設計方案。
Abstract : in this paper , we present a fuzzy approach fo r the unclear boundary constrained multiobjective optimization function in ac ma g netic according dynamic targets . using membership function and a certain membersh ip value to fuzzificate and defuzzificate the constriction
文摘:對交流電磁鐵動態(tài)優(yōu)化設計過程中的非明確約束條件范圍做了一定的探討,闡述了應用隸屬函數(shù)和模糊截集的概念建立明確約束條件的思想。
In the next section of this paper we describe a non - generational ga for multiobjective optimization problems ( mop ) . in it the replacement policy is such that an offspring replaces the worst one in the current population only if it is better then it
在將錯位交叉算子應用于多目標優(yōu)化問題求解時，本文提出一種基于非群體迭代型的小生境多目標優(yōu)化遺傳算法，即算法迭代過程中不是更換種群全部或大部分個體，而是每次更新群體中最差的個體。