In this paper we contemplate the Binary integer programming problems and presents a summary of the techniques of finding an optimal solution, using the Branchand-Bound algorithm highlighting some critical features and new trend in published articles not yet commonly found in most text books. A generic algorithm is presented and illustrated by solving a knapsack problem.Keywords: Linear programming, Binary Integer programming, Relaxation, Branch and Bound, Variable selection, Partitioning, fathoming, Depth-first search, Fixing VariableJournal of the Nigerian Association of Mathematical Physics, Volume 19 (November, 2011), pp 475 – 48
We propose an Integer Linear Programming (ILP) approach for solving integer programming problems wit...
International audienceSparse optimization focuses on finding a solution to least-squares problems wi...
This article provides a method of constructing branches for solving an integer problem of linear pro...
In this paper we describe a new branch and bound algorithm for solving 0-1 integer linear programs (...
This thesis will introduce a historical perspective of the development of work in the field of multi...
The branch and bound principle has been established as an effective computational tool for solving l...
In our talk we present an algorithm for determining initial bound for the Branch and Bound (B&B) met...
In this paper, a reformulation that was proposed for a knapsack problem has been extended to single ...
The paper presents a new reformulation approach to reduce the complexity of a branch and bound algor...
In this paper, a new branch-and-cut algorithm for mixed integer bi-level programming is proposed. Fo...
The branch and bound principle has long been established as an effective computational tool for solv...
Most real-world optimization problems are multi-objective by nature, with conflicting and incomparab...
A number of discrete variable representations are well accepted and find regular use within LP syste...
It is challenging to obtain online solutions of large-scale integer linear programming (ILP) problem...
Branch-and-bound (B&B) algorithms, and extensions such as branch-and-price (B&P) are powerful tools ...
We propose an Integer Linear Programming (ILP) approach for solving integer programming problems wit...
International audienceSparse optimization focuses on finding a solution to least-squares problems wi...
This article provides a method of constructing branches for solving an integer problem of linear pro...
In this paper we describe a new branch and bound algorithm for solving 0-1 integer linear programs (...
This thesis will introduce a historical perspective of the development of work in the field of multi...
The branch and bound principle has been established as an effective computational tool for solving l...
In our talk we present an algorithm for determining initial bound for the Branch and Bound (B&B) met...
In this paper, a reformulation that was proposed for a knapsack problem has been extended to single ...
The paper presents a new reformulation approach to reduce the complexity of a branch and bound algor...
In this paper, a new branch-and-cut algorithm for mixed integer bi-level programming is proposed. Fo...
The branch and bound principle has long been established as an effective computational tool for solv...
Most real-world optimization problems are multi-objective by nature, with conflicting and incomparab...
A number of discrete variable representations are well accepted and find regular use within LP syste...
It is challenging to obtain online solutions of large-scale integer linear programming (ILP) problem...
Branch-and-bound (B&B) algorithms, and extensions such as branch-and-price (B&P) are powerful tools ...
We propose an Integer Linear Programming (ILP) approach for solving integer programming problems wit...
International audienceSparse optimization focuses on finding a solution to least-squares problems wi...
This article provides a method of constructing branches for solving an integer problem of linear pro...