We describe COLIN, a Common Optimization Library INterface for C++. COLIN provides C++ template classes that define a generic interface for both optimization problems and optimization solvers. COLIN is specifically designed to facilitate the development of hybrid optimizers, for which one optimizer calls another to solve an optimization subproblem. We illustrate the capabilities of COLIN with an example of a memetic genetic programming solver
The most effective optimization tech- niques assume that the objective (and constraint) func- tion...
AbstractAccording to the Object-Oriented Programming paradigm, a computer program should be organize...
The access to advanced optimization software needs more and more sophisticated modeling tools. Optim...
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...
We present ensmallen, a fast and flexible C++ library for mathematical optimization of arbitrary use...
We apply the notion of design patterns to optimizations performed by designers of software libraries...
The structure of object-oriented programs differs from that of procedural programs, requiring specia...
Conventionally, optimization problems are usually solved by first deriving governing equations for o...
International audienceProgress in the field of structural optimization naturally leads to an increas...
Many problems in the telecommunication business and elsewhere seem to resist an object-oriented appr...
This talk presents the optimization interface MathOptInterface (MOI), an abstraction layer that repl...
This report provides an introduction to the ensmallen numerical optimization library, as well as a d...
Packages to encode Machine Learned models into optimization problems is an underdeveloped area, desp...
R users can often solve optimization tasks easily using the tools in the optim function in the stats...
The most effective optimization tech- niques assume that the objective (and constraint) func- tion...
AbstractAccording to the Object-Oriented Programming paradigm, a computer program should be organize...
The access to advanced optimization software needs more and more sophisticated modeling tools. Optim...
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...
We present ensmallen, a fast and flexible C++ library for mathematical optimization of arbitrary use...
We apply the notion of design patterns to optimizations performed by designers of software libraries...
The structure of object-oriented programs differs from that of procedural programs, requiring specia...
Conventionally, optimization problems are usually solved by first deriving governing equations for o...
International audienceProgress in the field of structural optimization naturally leads to an increas...
Many problems in the telecommunication business and elsewhere seem to resist an object-oriented appr...
This talk presents the optimization interface MathOptInterface (MOI), an abstraction layer that repl...
This report provides an introduction to the ensmallen numerical optimization library, as well as a d...
Packages to encode Machine Learned models into optimization problems is an underdeveloped area, desp...
R users can often solve optimization tasks easily using the tools in the optim function in the stats...
The most effective optimization tech- niques assume that the objective (and constraint) func- tion...
AbstractAccording to the Object-Oriented Programming paradigm, a computer program should be organize...
The access to advanced optimization software needs more and more sophisticated modeling tools. Optim...