Binary Cut-and- Branch Method for Solving Linear Programming Problems with Boolean Variables
نویسنده
چکیده
A numerical method is proposed for solving linear programming problems with Boolean variables. The method is based on an iterative application of a cutting-plane procedure that takes into account, as fully as possible, the properties of the problems being solved. Heuristic procedures are applied for the synthesis of cutting-planes as an intermediate step substantiating the construction of a solution tree.
منابع مشابه
Solving Fully Fuzzy Linear Programming Problems with Zero-One Variables by Ranking Function
Jahanshahloo has suggested a method for the solving linear programming problems with zero-one variables. In this paper we formulate fully fuzzy linear programming problems with zero-one variables and a method for solving these problems is presented using the ranking function and also the branch and bound method along with an example is presented.
متن کاملDefuzzification Method for Solving Fuzzy Linear Programming Problems
Several authors have proposed different methods to find the solution of fully fuzzy linear programming (FFLP) problems. But all the existing methods are based on the assumption that all the fuzzy coefficients and the fuzzy variables are non-negative fuzzy numbers. in this paper a new method is proposed to solve an FFLP problems with arbitrary fuzzy coefficients and arbitrary fuzzy variables, th...
متن کاملA Branch-and-cut Algorithm for Discrete Bilevel Linear Programs
We present a branch-and-cut algorithm for solving discrete bilevel linear programs where the upper-level variables are binary and the lower-level variables are either pure integer or pure binary. This algorithm performs local search to find improved bilevelfeasible solutions. We strengthen the relaxed node subproblems in the branch-and-cut search tree by generating cuts to eliminate all of the ...
متن کاملProviding a Method for Solving Interval Linear Multi-Objective Problems Based on the Goal Programming Approach
Most research has focused on multi-objective issues in its definitive form, with decision-making coefficients and variables assumed to be objective and constraint functions. In fact, due to inaccurate and ambiguous information, it is difficult to accurately identify the values of the coefficients and variables. Interval arithmetic is appropriate for describing and solving uncertainty and inaccu...
متن کاملA revisit of a mathematical model for solving fully fuzzy linear programming problem with trapezoidal fuzzy numbers
In this paper fully fuzzy linear programming (FFLP) problem with both equality and inequality constraints is considered where all the parameters and decision variables are represented by non-negative trapezoidal fuzzy numbers. According to the current approach, the FFLP problem with equality constraints first is converted into a multi–objective linear programming (MOLP) problem with crisp const...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2016