Benders decomposition is a well-known procedure for solving a combinatorial optimization problem by defining it in terms of a master problem and a subproblem. Its effectiveness relies on the possibility of synthethising Benders cuts (or nogoods) that rule out not only one, but a large class of trial values for the master problem. In turns, this depends on the possibility of separating the subproblem into several subproblems, i.e., problems exhibiting strong intra-relationships and weak inter-relationships. The notion of separation is typically given informally, or relying on syntactical aspects. This paper formally addresses the notion of separability of the subproblem by giving a semantical definition and exploring it from the computationa...
none3siInrecentyears,branch-and-cutalgorithmshavebecomefirmlyestablished as the most effective metho...
Benders decomposition uses a strategy of “learning from one’s mistakes.” The aim of this paper is to...
In a period when optimization has entered almost every facet of our lives, this thesis is designed t...
Benders decomposition entails a two-stage optimization approach to a mixed integer program: first-s...
Benders decomposition is a solution method for solving certain large-scale optimization problems. In...
We examine a decomposition approach to find good quality feasible solutions. In particular, we study...
Benders is one of the most famous decomposition tools for Mathematical Programming, and it is the me...
Despite the recent very significant progress concerning algorithms for combinatorial optimization pr...
International audienceIn Benders decomposition approach to mixed integer programs , the optimization...
Abstract. Recent work have exhibited specific structure among combinatorial problem instances that c...
AbstractThe master problem in Benders's partitioning method is an integer program with a very large ...
Large part of combinatorial optimization research has been devoted to the study of exact methods lea...
Despite the recent very significant progress concerning algorithms for combinatorial optimization pr...
International audienceWe consider a minimization linear program over a polytope P described by prohi...
Chen M, Du W, Tang Y, Jin Y, Yen GG. A Decomposition Method for Both Additively and Non-additively S...
none3siInrecentyears,branch-and-cutalgorithmshavebecomefirmlyestablished as the most effective metho...
Benders decomposition uses a strategy of “learning from one’s mistakes.” The aim of this paper is to...
In a period when optimization has entered almost every facet of our lives, this thesis is designed t...
Benders decomposition entails a two-stage optimization approach to a mixed integer program: first-s...
Benders decomposition is a solution method for solving certain large-scale optimization problems. In...
We examine a decomposition approach to find good quality feasible solutions. In particular, we study...
Benders is one of the most famous decomposition tools for Mathematical Programming, and it is the me...
Despite the recent very significant progress concerning algorithms for combinatorial optimization pr...
International audienceIn Benders decomposition approach to mixed integer programs , the optimization...
Abstract. Recent work have exhibited specific structure among combinatorial problem instances that c...
AbstractThe master problem in Benders's partitioning method is an integer program with a very large ...
Large part of combinatorial optimization research has been devoted to the study of exact methods lea...
Despite the recent very significant progress concerning algorithms for combinatorial optimization pr...
International audienceWe consider a minimization linear program over a polytope P described by prohi...
Chen M, Du W, Tang Y, Jin Y, Yen GG. A Decomposition Method for Both Additively and Non-additively S...
none3siInrecentyears,branch-and-cutalgorithmshavebecomefirmlyestablished as the most effective metho...
Benders decomposition uses a strategy of “learning from one’s mistakes.” The aim of this paper is to...
In a period when optimization has entered almost every facet of our lives, this thesis is designed t...