Branch and Bound algorithm is a general method for solving Combinatorial Optimization Problems. Parallelization is an effective means to improve the algorithm performance.
分枝限界算法是一种求解组合优化问题的一般性方法,并行化是提高算法性能的有效手段。
To develop a branch and bound method for this problem, a nonlinear integer-programming model was constructed.
为设计求解该问题的分支定界算法,建立了非线性整数规划模型。
In this paper, the problem for contract processing sequencing with penalty factor is studied and a branch and bound method for this problem is proposed.
本文研究了具有惩罚因子的合同加工排序问题,提出了相应的分枝定界算法。
We first provide a lower bound of its optimal value which can be used to solve the problem optimally by branch and bound method.
该文首先给出一个最优解值的下界估计,它可用于分枝定界法求最优解。
In this paper, a branch-and-bound method is proposed for non-convex quadratic programming problems with convex constrains.
针对凸约束非凸二次规划问题,给出了一个分枝定界方法。
In this pater, the problem of limited resources and shortest time limit for a project is studied and an algorithm of branch and bound method for this problem is proposed.
本文研究了资源有限—工期最短的优化问题,提出了相应的分枝定界算法。
A general subset selection method, the branch and bound technique, is applied to a control structure selection problem.
一种通用的子集合选择方法一分支定界法被应用于控制结构选择问题。
To develop a branch and bound method for this problem, a nonlinear integer-programming model was constructed.
分支定界法可求纯整数或混合整数线性规划问题,求解方法由分支和定界组成。
To develop a branch and bound method for this problem, a nonlinear integer-programming model was constructed.
分支定界法可求纯整数或混合整数线性规划问题,求解方法由分支和定界组成。
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