The linear programme and its constraints are split into two parts. The first consists of the traditional structure, the second being akin to goal programming. SOFT constraints are weighted relative to each other and then approximately weighted relative to the HARD constraints. The LP is run four times giving different emphasis to the SOFT and HARD constraints. The manager requesting the LP has then to decide which gives the most appropriate solution.
We refer to the framework of learning with mixed hard/soft pointwise constraints considered in Gnecc...
We refer to the framework of learning with mixed hard/soft pointwise constraints considered in Gnecc...
We refer to the framework of learning with mixed hard/soft pointwise constraints considered in Gnecc...
Linear Programming is a mathematical technique to help plan and to achieve the best outcome. It will...
We give the main notions related to the concept of soft constraints, as well as the main techniques ...
The objective function and the constraints can be formulated as linear functions of independent vari...
In this article we illustrate that Constraint Logic Programming (CLP) systems allow easy expression ...
peer reviewedIn this article we illustrate that Constraint Logic Programming (CLP) systems allow eas...
Linear Programming (LP) and Integer Linear Programming (ILP) are two of the most powerful tools ever...
Linear Programming is developed more than fifty years ago and is since then an important tool for so...
Linear Programming is developed more than fifty years ago and is since then an important tool for so...
A learning paradigm is presented, which extends the classical framework of learning from examples b...
A learning paradigm is presented, which extends the classical framework of learning from examples b...
A learning paradigm is presented, which extends the classical framework of learning from examples b...
A learning paradigm is presented, which extends the classical framework of learning from examples b...
We refer to the framework of learning with mixed hard/soft pointwise constraints considered in Gnecc...
We refer to the framework of learning with mixed hard/soft pointwise constraints considered in Gnecc...
We refer to the framework of learning with mixed hard/soft pointwise constraints considered in Gnecc...
Linear Programming is a mathematical technique to help plan and to achieve the best outcome. It will...
We give the main notions related to the concept of soft constraints, as well as the main techniques ...
The objective function and the constraints can be formulated as linear functions of independent vari...
In this article we illustrate that Constraint Logic Programming (CLP) systems allow easy expression ...
peer reviewedIn this article we illustrate that Constraint Logic Programming (CLP) systems allow eas...
Linear Programming (LP) and Integer Linear Programming (ILP) are two of the most powerful tools ever...
Linear Programming is developed more than fifty years ago and is since then an important tool for so...
Linear Programming is developed more than fifty years ago and is since then an important tool for so...
A learning paradigm is presented, which extends the classical framework of learning from examples b...
A learning paradigm is presented, which extends the classical framework of learning from examples b...
A learning paradigm is presented, which extends the classical framework of learning from examples b...
A learning paradigm is presented, which extends the classical framework of learning from examples b...
We refer to the framework of learning with mixed hard/soft pointwise constraints considered in Gnecc...
We refer to the framework of learning with mixed hard/soft pointwise constraints considered in Gnecc...
We refer to the framework of learning with mixed hard/soft pointwise constraints considered in Gnecc...