multiobjective problem 中文意思是什麼

multiobjective problem 解釋
多目的問題
  • multiobjective : 多目標的
  • problem : n. 1. 問題，課題；疑難問題；令人困惑的情況。2. 【數、物】習題；作圖題。3. （象棋的）布局問題。adj. 1. 成問題的；難處理的。2. 關于社會問題的。
  1. In this thesis, the optimality sufficiency conditions and duality theory are discussed in multiobjective nonlinear programming involving ( f, a, p, d ) - convexity and generalized ( f, a, p, d ) - convexity. at that time, an algorithm is discussed for nonlinear multiobjective problem

    本文主要討論了（ f ， ， ， d ） -凸及廣義（ f ， ， ， d ） -凸條件下非線性多目標規劃問題的最優性充分條件和對偶理論，同時，也探討了求解具有線性等式約束的非線性多目標規劃問題的一種新演算法。
  2. According to order relations defined between interval numbers, a fuzzy evaluation function is introduced into a multiobjective programming problem, this method results in the conversion of the complex multiobjective programming into the single objective programming

    摘要對系數為區間數的多目標線性規劃規劃問題，在區間數序關系下提出了序關系評價函數概念，並給出了一個命題，用此方法可將復雜的多目標線性規劃為簡單的單目標規劃。
  3. 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。
  4. In this paper, by considering the fuzzy nature of the decision - maker in the problem formulation process, multiobjective linear fractional programming problems with fuzzy decision are formulated

    針對實際問題中決策變量通常是模糊的情況，討論具塊角結構的含有模糊決策的線性分式多目標規劃模型。
  5. Abstract : in this paper, by considering the fuzzy nature of the decision - maker in the problem formulation process, multiobjective linear fractional programming problems with fuzzy decision are formulated

    文摘:針對實際問題中決策變量通常是模糊的情況，討論具塊角結構的含有模糊決策的線性分式多目標規劃模型。
  6. In order to solve the multiobjective flexible decision problem, this paper presents the interactive maximin method

    為解決多目標柔性決策問題，本文設計了互動式的maximin方法。
  7. To solve this kind of decision problem, this paper presents the flexible decision method that cooperates large scale system decomposition, coordination and incentive control. this method consists of two parts as follows : ( 1 ) the maximin method of multiobjective flexible decision

    為解決這樣的問題，本文提出的柔性決策方法把大系統分解協調方法和激勵控制方法結合起來，這種方法包括以下兩部分內容： 1
  8. To maximize the interval objective function, the order relations are defined by the right limit, the left limit, the center and the half with of an interval. the maximization problem with the interval objective functions is converted into a multiobjective problem by using the order relations

    就最大化區間目標函數而言，通過在區間數之間的左端點、右端點、中點以及區間的半長度引入序關系，然後再通過所定義的這些序關系，可把問題轉化為求解一個多目標問題。
  9. 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。
  10. Similarly, the minimization problem is also transformed into a multiobjective problem by using the other order relations, so by doing the multiobjective problem a solution of the primitive problem can be obtained

    而對最小化問題，也可定義區間數之間的另一序關系，同樣可把原問題轉化為一個多目標問題，通過求此多目標問題得到原問題的解。
  11. On the connectedness of the set of weakly efficient solutions for cone - continuous and cone - quasiconcave multiobjective programming problem

    錐連續錐擬凹多目標規劃問題弱有效解集的連通性
  12. Liu and wu ( ref. 26 ) presented sufficient conditions and proposed three dual models for the generalized fractional programming problem with - pseudoinvexity and - quasi - invexity in ref. 26. preda ( ref. 27 ) introduced generalized ( f, ) - convexity, an extension of f - convexity and generalized - convexiry ( ref. 28 - 29 ), relative results are also given for multiobjective programming problems

    而preda在文獻[ 27 ]中，又引入了推廣的（ f ， ）一凸性，它是f ?凸性和推廣的?凸性（見文獻[ 28 - 29 ]的結合和延伸） ，同時給出了一些相關結果。
  13. According to order relations defined between fuzzy numbers, the pareto less optimal solution and the pareto optimal solution are defined, then a fuzzy evaluation function is introduced into a multiobjective programming problem, this method results in a multiobjective programming problem been converted into a one objective programming problem, accordingly the solution by this method is the pareto less optimal solution to the primitive problem, which is given proof a multiobjective problem with general fuzzy number coefficients is also further discussed, by _ cutset of fuzzy sets a multiobjective problem can be transformed into a interval linear programming problem, and using the method of the previous chapter, we can obtain the pareto less optimal solution

    從模糊數之間的序關系出發，分別定義了弱較優解和較優解，然後對模糊多目標問題引入模糊評價函數，將多目標化為單目標，在此也證明了求得的解為原問題的弱較優解。還討論了系數為一般模糊數的多目標問題，通過模糊集的水平集可將多目標問題轉化為區間數線性規劃問題，並利用上一章所講的方法，得到原問題的弱較優解。最後，對變量為模糊數的線性規劃問題也進行了討論。
  14. Optimality conditions for convex composite multiobjective optimization problem

    凸復合多目標優化問題的最優性條件
  15. Computing result shows that : coevolutionary mdo algorithms are effective on this problem ; distributed coevolutionary mdo algorithm is better than cooperate coevolutionary mdo algorithm ; asynchronous parallel version of distributed coevolutionary mdo algorithm speeds up the optimization procedure greatly while maintains good convergence performance ; multiobjective distributed coevolutionary mdo algorithm approximates the whole pareto optimal front well in only one single run, saves much computing cost than constraint method to obtain pareto optimal set, and greatly shortens search time by distributed asyn

    計算結果表明：協同進化mdo演算法求解該問題是有效的，其中分散式協同進化mdo演算法優于合作協同進化mdo演算法；異步并行的分散式協同進化mdo演算法在保證收斂性能的同時大大加快了優化進程；多目標的分散式協同進化mdo演算法僅一次運行就很好的逼近了問題的整個pareto最優前沿，比用約束法求解pareto最優集節省了大量計算開銷，而且通過網路多臺微機的分散式并行執行大大縮短了搜索時間。
  16. Further, this thesis brings forward a method based on multiobjective coefficients with triangular fuzzy numbers, and lays undue emphasis on the multiobjective problem with general fuzzy numbers in objective coefficients

    進一步，本文還就目標系數為三角型模糊數的多目標問題給出了?種解法，同時對目標系數為一般模糊數的多目標問題也作了重點討論。
  17. The resource allocation problem is multiobjective flexible decision problem. and this kind of decision problem consists many dms, including one leader dm and many follower dms. the leader dm uses the technique of large scale system decomposition and coordination to look for allocation scheme according to the information provided by follower dms

    資源分配問題也是多目標柔性決策問題，同時，這種決策問題中具有多個決策者，包括一個上級決策者和多個下級部門決策者，上級決策者要根據下級決策者匯報的信息，採用大系統分解協調技術確定如何把資源分配到下級部門
  18. The optimality conditions for the modified integral - level set method of multiobjective programming problem

    求解多目標問題的積分型演算法的最優性條件
  19. Using the - level sets of fuzzy numbers, the corresponding nonfuzzy - multiobjective line fractional programming problem is introduced

    使用-水平集，建立了對應的-多目標規劃模型。
  20. Transferring this problem into a corresponding multiobjective programming, the optimality conditions of minimal perturbation constraints nonlinear programming are given

    利用把問題歸為一個相應的多目標規劃問題，給出了極小擾動約束有效解的最優性條件。
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