Many problems in the telecommunication business and elsewhere seem to resist an object-oriented approach. Although objects and classes are easily identified and requirements can be mapped into methods, the object-oriented paradigm does not shed much light on how to solve problems with combinatorial computational complexity. On the other hand, these problems often occur in large projects that require reuse of data and methodologies for which the objectoriented programming paradigm can help significantly. In this paper we present two successful applications of a new language, called LAURE, which extends the object-oriented programming with high-level constructs such as rules and constraints that apply to objects and interoperate with other ob...
We describe COLIN, a Common Optimization Library INterface for C++. COLIN provides C++ template cla...
Abstract We present pyOpt, an object-oriented frame-work for formulating and solving nonlinear const...
We present an object-oriented optimization framework that can be employed to solve small- and large-...
Conventionally, optimization problems are usually solved by first deriving governing equations for o...
the benefits of applying optimization to computational models are well known, but their range of wid...
The object-oriented programming paradigm can be used to overcome the incompatibilities between off-t...
The structure of object-oriented programs differs from that of procedural programs, requiring specia...
This research activity is mainly aimed at showing potentialities in coupling object-oriented program...
International audienceProgress in the field of structural optimization naturally leads to an increas...
Software development for parallel computers has been recognized as one of the bottlenecks preventing...
A structural optimization problem may be formulated as a single nonlinear program (NLP) and solved w...
A problem oriented language for optimization has been developed and tested using different optimizat...
. This paper proposes a logic-based approach to optimization that combines solution methods from ma...
High level programming language features have long been seen as improving programmer efficiency at s...
This chapter addresses the integration of constraints and search into programming lan-guages from th...
We describe COLIN, a Common Optimization Library INterface for C++. COLIN provides C++ template cla...
Abstract We present pyOpt, an object-oriented frame-work for formulating and solving nonlinear const...
We present an object-oriented optimization framework that can be employed to solve small- and large-...
Conventionally, optimization problems are usually solved by first deriving governing equations for o...
the benefits of applying optimization to computational models are well known, but their range of wid...
The object-oriented programming paradigm can be used to overcome the incompatibilities between off-t...
The structure of object-oriented programs differs from that of procedural programs, requiring specia...
This research activity is mainly aimed at showing potentialities in coupling object-oriented program...
International audienceProgress in the field of structural optimization naturally leads to an increas...
Software development for parallel computers has been recognized as one of the bottlenecks preventing...
A structural optimization problem may be formulated as a single nonlinear program (NLP) and solved w...
A problem oriented language for optimization has been developed and tested using different optimizat...
. This paper proposes a logic-based approach to optimization that combines solution methods from ma...
High level programming language features have long been seen as improving programmer efficiency at s...
This chapter addresses the integration of constraints and search into programming lan-guages from th...
We describe COLIN, a Common Optimization Library INterface for C++. COLIN provides C++ template cla...
Abstract We present pyOpt, an object-oriented frame-work for formulating and solving nonlinear const...
We present an object-oriented optimization framework that can be employed to solve small- and large-...