In integer programming and combinatorial optimisation, people use the term matheuristics to refer to methods that are heuristic in nature, but draw on concepts from the literature on exact methods. We survey the literature on this topic, with a particular emphasis on matheuristics that yield both primal and dual bounds (i.e., upper and lower bounds in the case of a minimisation problem). We also make some comments about possible future developments
This paper is a chapter of the forthcoming Handbook of Combinatorics, to be published by North-Holla...
Subgradient methods (SM) have long been the preferred way to solve the large-scale Nondifferentiable...
AbstractThis paper examines algorithmic strategies relating to the formulation of Lagrangian duals, ...
In integer programming and combinatorial optimisation, people use the term matheuristics to refer to...
In integer programming and combinatorial optimisation, people use the term matheuristics to refer to...
Solution techniques for combinatorial optimization and integer programming problems are core discipl...
Includes bibliographical references (p. 26-27).Supported by a Presidential Young Investigator Award....
Includes bibliographical references (p. 26-27).Supported by a Presidential Young Investigator Award....
This thesis deals with various problems arising when dualizing integer programs and combinatorial op...
Combinatorial optimization problems such as routing, scheduling, covering and packing problems aboun...
[Extrato] The concept of dual-feasible function (DFF) has been used to improve the resolution of sev...
Relaxation and dual-based heuristics have been a part of research in combinatorial optimisation sinc...
The thesis argues the case for exploiting certain structures in integer linear programs.\ud \ud Inte...
Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three m...
The thesis argues the case for exploiting certain structures in integer linear programs. Integer ...
This paper is a chapter of the forthcoming Handbook of Combinatorics, to be published by North-Holla...
Subgradient methods (SM) have long been the preferred way to solve the large-scale Nondifferentiable...
AbstractThis paper examines algorithmic strategies relating to the formulation of Lagrangian duals, ...
In integer programming and combinatorial optimisation, people use the term matheuristics to refer to...
In integer programming and combinatorial optimisation, people use the term matheuristics to refer to...
Solution techniques for combinatorial optimization and integer programming problems are core discipl...
Includes bibliographical references (p. 26-27).Supported by a Presidential Young Investigator Award....
Includes bibliographical references (p. 26-27).Supported by a Presidential Young Investigator Award....
This thesis deals with various problems arising when dualizing integer programs and combinatorial op...
Combinatorial optimization problems such as routing, scheduling, covering and packing problems aboun...
[Extrato] The concept of dual-feasible function (DFF) has been used to improve the resolution of sev...
Relaxation and dual-based heuristics have been a part of research in combinatorial optimisation sinc...
The thesis argues the case for exploiting certain structures in integer linear programs.\ud \ud Inte...
Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three m...
The thesis argues the case for exploiting certain structures in integer linear programs. Integer ...
This paper is a chapter of the forthcoming Handbook of Combinatorics, to be published by North-Holla...
Subgradient methods (SM) have long been the preferred way to solve the large-scale Nondifferentiable...
AbstractThis paper examines algorithmic strategies relating to the formulation of Lagrangian duals, ...