Branch-and-bound methods belong to the category of exact methods: they provide one or all of the optimal solutions of the considered instance for various optimization problems. Practical use of a branch-and-bound method requires the specification of several ingredients; a general description is ...
In this subsection, we first overview the general branch-and-bound algorithm and the two most crucial branching algorithms in branch-and-bound, including branching variable selection and node selection. Then, we introduce the cutting plane, which is part of the branch-and-cut method. Overview of...
and-bound based refinement procedure in section III. After a generalization of the method to systems with polynomial parametric uncertainty in section IV, we discuss a compu- tationally efficient implementation of the method in section V. Illustration of the method on three examples is follow...
Now it is crucial to find a good upper and lower bound in such cases. We can find an upper bound by using any local optimization method or by picking any point in the search space. On the other hand, we can obtain a lower bound from convex relaxation or duality. In general, we want...
Bozer and Suk-Chul 1996] Bozer Y. A., Suk-Chul R.: "A Branch and Bound Method for Solving the Bidirectional Circular Layout Problem"; Applied Mathematical Modeling, 20, 5(1996), 342-351Branch and bound method for solving the bi-directional circular layout problem - Bozer, Rim - 1996...
We use DTs to provide the bounds required by Branch-and-Bound. Our method is fairly generic; it applies to any star-shape graphical model involving continuous variables, and pairwise potentials expressed as separable, decreasing binary potential kernels. We evaluate our technique using the mixture-...
4.Branch & bound algorithm in leukocyte feature selection using分支定界算法在白细胞特征选择中的应用研究 5.Research on Unit Commitment Based on Interior Point-Branch and Bound Method;基于内点—分支定界法的最优机组投入研究 6.Application of General Algorithm of Solving Integer Programming in Selection ...
The only practical method for finding optimal solutions has been branch-and-bound algorithms. In this paper, we present an improved sequential algorithm which is based on a strict alternation of Generation and Exploration execution modes as well as Depth-First/Best-First hybrid strategies. The ...
摘要: We consider in this paper the problem of searching for an (sub)optimal solution in a discrete solution space and we formulate the method called branch- and- bound. It is shown that the formulation isDOI: 10.1007/3-540-60321-2_31 ...
We propose a general algorithm that treats cascade training as a tree search process working according to the branch-and-bound technique. The algorithm allows to reduce the expected number of features used by an operating cascade—a key quantity we focus