Add to ORKGnone2We describe and survey heuristic approaches for Mixed-Integer Linear Programming.noneM. Fischetti; A. LodiM. Fischetti; A. Lod
FIELD GROUP SUB-GROUP Algorithms, linear programming, mathematical programming, graph theory, shorte...
Mixed-integer programming theory provides a mechanism for optimizing decisions that take place in co...
Abstract—We formulate the NP-hard absolute value equation as linear complementary problem when the s...
As advanced undergraduate and graduate students begin conducting research, they must base their work...
none1noThis is a summary of the author’s PhD thesis supervised by Andrea Lodi and defended on 16 Apr...
[[abstract]]Several algorithms have been developed to solve the two-level linear programming problem...
Abstract. Many optimization problems involve integer and continuous variables that can be modeled as...
In the first part of the paper, we present a framework for describing basic techniques to improve th...
On alternative mixed integer programming formulations and LP-based heuristics for lot-sizin
This final thesis work is dealing with the problems of mixed integer linear programming and their po...
We present a review of available tools for solving mixed integer nonlinear programming problems. Our...
International audienceSeveral hybrid methods have recently been proposed for solving 0-1 mixed integ...
Linear and integer programming are fundamental toolkits for data and information science and technol...
We present a review of available tools for solving mixed integer nonlinear pro- gramming problems. O...
Linear programming is one of the most extensively used techniques in the toolbox of quantitative met...
FIELD GROUP SUB-GROUP Algorithms, linear programming, mathematical programming, graph theory, shorte...
Mixed-integer programming theory provides a mechanism for optimizing decisions that take place in co...
Abstract—We formulate the NP-hard absolute value equation as linear complementary problem when the s...
As advanced undergraduate and graduate students begin conducting research, they must base their work...
none1noThis is a summary of the author’s PhD thesis supervised by Andrea Lodi and defended on 16 Apr...
[[abstract]]Several algorithms have been developed to solve the two-level linear programming problem...
Abstract. Many optimization problems involve integer and continuous variables that can be modeled as...
In the first part of the paper, we present a framework for describing basic techniques to improve th...
On alternative mixed integer programming formulations and LP-based heuristics for lot-sizin
This final thesis work is dealing with the problems of mixed integer linear programming and their po...
We present a review of available tools for solving mixed integer nonlinear programming problems. Our...
International audienceSeveral hybrid methods have recently been proposed for solving 0-1 mixed integ...
Linear and integer programming are fundamental toolkits for data and information science and technol...
We present a review of available tools for solving mixed integer nonlinear pro- gramming problems. O...
Linear programming is one of the most extensively used techniques in the toolbox of quantitative met...
FIELD GROUP SUB-GROUP Algorithms, linear programming, mathematical programming, graph theory, shorte...
Mixed-integer programming theory provides a mechanism for optimizing decisions that take place in co...
Abstract—We formulate the NP-hard absolute value equation as linear complementary problem when the s...