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branch and bound中文是什么意思

  • 分枝定界法
  • 分枝界限法

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  • 例句與用法
  • Balancing two - sided assembly line based on branch and bound way
    多品種混合型裝配流水線的平衡設(shè)計(jì)
  • A new branch and bound algorithm for solving complex integer quadratic programs
    解復(fù)雜二次整數(shù)規(guī)劃問(wèn)題的新型分枝定界算法
  • Branch and bound algorithm
    分枝界定法
  • A branch and bound algorithm for solving maximizing a concave function over weakly - efficient
    弱有效集上凹函數(shù)極大問(wèn)題的分枝定界算法
  • Branch and bound algorithm is an important method to be used to acquire the solution of optimal problems
    分支定界算法是求解優(yōu)化問(wèn)題的重要方法。
  • 4 . the tsp as benchmark shows that this cluster platform can increase the branch and bound algorithm ’ s efficiency and get the optimal solution soon
    計(jì)算表明,在保證求得最優(yōu)解的前提下,該平臺(tái)能很好地提高分支定界算法的效率。
  • When problem scale is small , we can adopt many classical algorithms such as linear programming integer programming , branch and bound method to solve this problem
    當(dāng)問(wèn)題規(guī)模較小時(shí),可用線性規(guī)劃、整數(shù)規(guī)劃、動(dòng)態(tài)規(guī)劃等經(jīng)典算法求解。
  • This paper consists of two parts . in the first part , a new branch and bound algorithm for minimizing the nonconvex quadratic programming with box constraints is proposed
    本文分兩部分,第一部分研究求解邊界約束非凸二次規(guī)劃問(wèn)題的整體最優(yōu)解的分支定界算法。
  • The solving tsp ( traveling salesman problem ) examples as benchmark shows that this platform can increase the branch and bound algorithm ' s efficiency and get the optimal solution sooner
    計(jì)算表明,在保證求得最優(yōu)解的前提下,該平臺(tái)能很好地提高分支定界算法的效率。
  • To improve the efficiency of the branch and bound technique , some heuristic principles are proposed to cut those branches that may generate global optimization solution with low probability
    同時(shí),為提高分支定界法的效率,利用啟發(fā)式規(guī)則剪去產(chǎn)生最優(yōu)解可能性很小的分支。
  • 更多例句:  1  2  3
  • 百科解釋
Branch and bound (BB or B&B) is a general algorithm for finding optimal solutions of various optimization problems, especially in discrete and combinatorial optimization. A branch-and-bound algorithm consists of a systematic enumeration of all candidate solutions, where large subsets of fruitless candidates are discarded en masse, by using upper and lower estimated bounds of the quantity being optimized.
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