Add to ORKGDiscrete optimization problems are very difficult to solve, even if the dimention is small. For most of them the problem of finding an ε-approximate solution is already NP-hard. The branch-and-bound algorithms are the most used algorithms for solving exactly this sort of problems
In this paper we contemplate the Binary integer programming problems and presents a summary of the t...
To unify and generalize the branch-and-bound method used in operations research and the heuristic se...
This dissertation analyzes and computationally tests a novel approach to improving the performance o...
Discrete optimization problems are very difficult to solve, even if the dimention is small. For most...
Discrete optimization problems are very difficult to solve, even if the dimantion is small. For most...
The quadratic 0-1 programming is a discrete optimization problem, with many important applications. ...
International audienceSparse optimization focuses on finding a solution to least-squares problems wi...
In this paper we propose convex and LP bounds for standard quadratic programming (StQP) problems and...
xxxxAbstract: The quadratic assignment problem (QAP) is one of the most difficult combinatorial opti...
Traveling Salesman Problem is one of Ihe most intensively studied problems in computational mathemat...
In this work, we propose a strategy for computing valid lower bounds for a specific class of integer...
Copyright © 2009, by the author(s). Please do not quote, cite, or reproduce without permission from ...
none3siWe present a branch-and-bound algorithm for minimizing a convex quadratic objective function ...
Branch and bound algorithms are methods for global optimization in nonconvex prob-lems [LW66, Moo91]...
The paper describes an optimization procedure for a class of discrete optimization problems which is...
In this paper we contemplate the Binary integer programming problems and presents a summary of the t...
To unify and generalize the branch-and-bound method used in operations research and the heuristic se...
This dissertation analyzes and computationally tests a novel approach to improving the performance o...
Discrete optimization problems are very difficult to solve, even if the dimention is small. For most...
Discrete optimization problems are very difficult to solve, even if the dimantion is small. For most...
The quadratic 0-1 programming is a discrete optimization problem, with many important applications. ...
International audienceSparse optimization focuses on finding a solution to least-squares problems wi...
In this paper we propose convex and LP bounds for standard quadratic programming (StQP) problems and...
xxxxAbstract: The quadratic assignment problem (QAP) is one of the most difficult combinatorial opti...
Traveling Salesman Problem is one of Ihe most intensively studied problems in computational mathemat...
In this work, we propose a strategy for computing valid lower bounds for a specific class of integer...
Copyright © 2009, by the author(s). Please do not quote, cite, or reproduce without permission from ...
none3siWe present a branch-and-bound algorithm for minimizing a convex quadratic objective function ...
Branch and bound algorithms are methods for global optimization in nonconvex prob-lems [LW66, Moo91]...
The paper describes an optimization procedure for a class of discrete optimization problems which is...
In this paper we contemplate the Binary integer programming problems and presents a summary of the t...
To unify and generalize the branch-and-bound method used in operations research and the heuristic se...
This dissertation analyzes and computationally tests a novel approach to improving the performance o...