Probabilistic subproblem selection in branch-and-bound algorithms

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Learning Subproblem Complexities in Distributed Branch and Bound

In the context of distributed Branch and Bound Search for Graphical Models, effective load balancing is crucial yet hard to achieve due to early pruning of search branches. This paper proposes learning a regression model over structural as well as cost function-based features to more accurately predict subproblem complexity ahead of time, thereby enabling more balanced parallel workloads. Early...

متن کامل

Node selection strategies in interval Branch and Bound algorithms

We present in this article new strategies for selecting nodes in interval Branch and Bound algorithms for constrained global optimization. For a minimization problem the standard best-first strategy selects a node with the smallest lower bound of the objective function estimate. We first propose new node selection policies where an upper bound of each node/box is also taken into account. The go...

متن کامل

Parallel Branch-and-Bound Algorithms

1.1. INTRODUCTION In the beginning of the twenty-first century, large unsolved combinatorial optimization problems have been solved exactly. Two impressive cases should be mentioned. First are two instances of the Monde, Transfert) newspapers. This impressive media frenzy reflected the impact of the achievement, which was deemed of the same order of magnitude as the victory of IBMs parallel com...

متن کامل

Visualizing Branch-and-Bound Algorithms

We present a suite of tools for visualizing the status and progress of branch-and-bound algorithms for mixed integer programming. By integrating these tools with the open-source codes CBC, SYMPHONY, and GLPK, we demonstrate the potential usefulness of visual representations in helping a user predict future progress of the algorithm or analyzing the algorithm’s performance. We have also implemen...

متن کامل

Fast Branch & Bound Algorithms for Optimal Feature Selection

A novel search principle for optimal feature subset selection using the Branch & Bound method is introduced. Thanks to a simple mechanism for predicting criterion values, a considerable amount of time can be saved by avoiding many slow criterion evaluations. We propose two implementations of the proposed prediction mechanism that are suitable for use with nonrecursive and recursive criterion fo...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Computational and Applied Mathematics

سال: 2005

ISSN: 0377-0427

DOI: 10.1016/j.cam.2004.10.019