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pareto optimal solution meaning in English

帕累托最优解

Examples

  1. In fact , various evolutionary approaches to multi - objective optimization have been proposed since 1985 , capable of searching for multiple pareto optimal solutions concurrently in a single simulation run . spea2 is one of the art of the date algorithms
    实际上,自从1985年以来,研究者们已经提出了许多基于演化计算的多目标优化算法,这些算法能够在一次独立的运行中同时搜索到多个pareto最优解。
  2. The method proposed in this thesis do well in solving the problems of multi - damping - ratio - spectra simulation . it is convenient to obtain the pareto optimal solution set of the multi - object question by using implicit parallel genetic algorithms and the method can meet the practical needs for simulating ground motions coinciding with multi - damping - ratio - spectra in seismic design . the crossing rate and variance rate are important parameters of genetic algorithms which affect the rate of convergence , the adapting rate of cross and variation in this paper can auto - adapt and according to stand or fall of current sample , it assures the sample approach to the pareto optimal solution set in fast convergent speed
    较好地解决多阻尼比反应谱拟合问题;本文方法通过一次运行就能获得一组具有集系特性的地震动,在拟合多阻尼比反应谱的人造地震波集系的仿真方面有传统方法所不能比拟的优势,产生的人造波或人造波集系可满足工程抗震设计需要;在遗传算法中,交叉概率和变异概率是影响收敛速度的重要参数,本文采用的改进自适应交叉概率和变异概率,可以根据当前样本的好坏程度来自动地选择适当的交叉概率和变异概率,以保证算法始终以较好的速度向pareto最优解集逼近。
  3. 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。
  4. In the part of negotiation among multiple disciplines , a kind of group negotiation strategy considered negotiation time , resource and other various factors is brought forward . payoff ( utility ) function in the game theory is used to simulate the action of negotiators , and using fuzzy sets theory and pareto optimal principle to guide the process of negotiation , and receiving pareto optimal solution through negotiation
    在多学科协商中,综合考虑协商中时间、资源等多方面的因素,提出了一个组协商策略,采用博弈论中的回报(效用)函数方法模拟协商者的行为,结合模糊集理论和pareto最优方法对协商过程进行指导,进而通过协商得到相应的pareto最优解。
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Related Words

  1. pareto
  2. pareto rationality
  3. pareto criterion
  4. pareto optimum
  5. pareto interpolation
  6. pareto optimality
  7. pareto superior
  8. pareto curve
  9. pareto charts
  10. pareto nonoptimality
  11. pareto noncomparability
  12. pareto nonoptimality
  13. pareto optimality
  14. pareto optimization
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