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multiobjective problem meaning in English

多目的问题

Examples

  1. 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
    而对最小化问题,也可定义区间数之间的另一序关系,同样可把原问题转化为一个多目标问题,通过求此多目标问题得到原问题的解。
  2. 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
    进一步,本文还就目标系数为三角型模糊数的多目标问题给出了?种解法,同时对目标系数为一般模糊数的多目标问题也作了重点讨论。
  3. 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
    本文主要讨论了( f , , , d ) -凸及广义( f , , , d ) -凸条件下非线性多目标规划问题的最优性充分条件和对偶理论,同时,也探讨了求解具有线性等式约束的非线性多目标规划问题的一种新算法。
  4. 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
    就最大化区间目标函数而言,通过在区间数之间的左端点、右端点、中点以及区间的半长度引入序关系,然后再通过所定义的这些序关系,可把问题转化为求解一个多目标问题。
  5. 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
    从模糊数之间的序关系出发,分别定义了弱较优解和较优解,然后对模糊多目标问题引入模糊评价函数,将多目标化为单目标,在此也证明了求得的解为原问题的弱较优解。还讨论了系数为一般模糊数的多目标问题,通过模糊集的水平集可将多目标问题转化为区间数线性规划问题,并利用上一章所讲的方法,得到原问题的弱较优解。最后,对变量为模糊数的线性规划问题也进行了讨论。

Related Words

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