multiobjective optimization 中文意思是什麼
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Generic stability of the solutions in weighted multiobjective optimization problems in epigraph topology case
上圖像拓撲與多目標優化問題加權解的通有穩定性 -
Connectedness of the solution set of multiobjective optimization with cone quasiconvex set - valued mapping
錐擬凸集值映射多目標優化的解集的連通性 -
Timetabling problem ( tp ) is a multiobjective combination optimization problem with constraints, and also has been proved np - completed
排課問題是一個有約束的、多目標的組合優化問題，並且已經被證明為一個np完全問題。 -
Multiobjective optimization in pavement maintenance and rehabilitation programming
多目標優化在路面養護決策中的應用 -
This paper improved these methods based on the requirements 0 there are two methods for conventional orbital control : one is algebra method which deals with the problems by optimization based on orbit geometry characteristics the first method is applied when we adopt impulsive control, but in the multiobjective cases the method has its limitation
傳統的軌道控制一般基於兩種方法，一種是代數優化方法，這種方法與衛星的軌道幾何特性相結合進行分析，將軌道的幾何特性和優化指標用代數方程的形式表示出來進行求解，這種方法主要用於沖量式控制。 -
By introducing distributed evolution to deb ' s nsga - ii, a distributed multiobjective evolutionary algorithm was given. it was tested on five difficult multiobjective optimization test problems, and the result shows that distributed evolution does improve the performance of the algorithm
給出了一種分散式的多目標進化演算法，它是用分散式進化方式對deb的nsga -的改進，用五個困難的多目標優化測試問題對該演算法的測試表明這種改進明顯的提高了演算法的性能。 -
Structural multiobjective optimization of multi - layer composite artillery barrel with ceramic liner
陶瓷內襯多層復合身管結構多目標優化設計 -
A comparative study on multiobjective optimization methods of space truss design
空間桁架多目標優化方法的比較研究 -
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
在將錯位交叉運算元應用於多目標優化問題求解時，本文提出一種基於非群體迭代型的小生境多目標優化遺傳演算法，即演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。 -
At the heart of mdo problem is a multiobjective optimization problem. therefore, it is really valuable to research multiobjective optimization theory and technologies
因此開展多目標優化技術研究在學術上和工程實際中都具有重大意義。 -
Key techniques and main measures that apply genetic algorithm ( ga ) to multiobjective search are studied. based on the comparison of various multiobjective optimization ga ( moga ), a new algorithm called improved pareto ga ( ipga ) that combines the nsga - ii and local search algorithm is presented
研究了遺傳演算法應用於多目標搜索的關鍵技術及主要解決措施，比較分析了幾種主要的多目標遺傳演算法的優缺點，提出了一種改進的多目標遺傳演算法（ ipga ） 。 -
Connectedness of the super efficient solution set of multiobjective optimization with cone upper semicontinuous cone quasiconvex set - valued mapping
錐撓動意義下弱有效解的上半連續性 -
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:對交流電磁鐵動態優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和模糊截集的概念建立明確約束條件的思想。 -
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化設計問題，並將多目標優化概念和方法應用於某運載火箭上面級固體發動機（ cpkm ）方案設計。 -
On ant colony algorithm for solving multiobjective optimization problems
多目標優化問題的蟻群演算法研究 -
Optimality conditions for convex composite multiobjective optimization problem
凸復合多目標優化問題的最優性條件 -
4. we study chromosome coding and heredity operator designing aimed at tp, then introduce the multiobjective decision - making concordance model, put forward a fitness computation mode base on multiobjective concordance decision - making model and improve the generalized structure of ga, form a coordinated multiobjective optimization algorithm of tp
針對排課問題研究了染色體編碼方式以及遺傳操作運算元的設計，並引入多目標決策協調模型，提出了一種基於多目標決策協調模型的適應度計算方法，並改進了遺傳演算法一般結構，形成了一套多目標協同優化的排課演算法。 -
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網路模型，以表達設計者的偏好。該神經網路模型和優化過程的結合，實現了精確尋優，並藉助于折衷規劃得到最後的設計方案。 -
Connectedness of the super efficient solution sets of multiobjective optimization problems with cone upper wemicontinuous set - valued mapping
錐上半連續集值映射多目標優化問題超有效解集的連通性 -
Developed iimom, providing a complete and effective solution for the medium and small scale multiobjective optimization problems
提出了智能互動式多目標設計方法，為中小型多目標優化問題給出了完善、有效的解決方案。
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