We present a specific pooling model which, while simple, still uses bi-linear objective and constraints. An absolute lower bound is available for this model. We conjecture that any local solution is a global minimizer for this simple instance. We will motivate its usage within a feed industry application. We will then present several experiments to support our conjecture. Since the dimension is in the hundreds, no global solver is able to solve it. Among arguments to support our conjecture is the fact that for smaller instances solvable by global solvers, the solutions computed by local solvers are indeed global
The pooling problem is a frequently studied extension of the traditional minimum cost flow problem, ...
The computational challenge offered by many traditional network flow models is modest, and large-sca...
This paper presents a Python library to model pooling problems, a class of network flow problems wit...
We present a specific pooling model which, while simple, still uses bi-linear objective and constrai...
The pooling problem is a folklore NP-hard global optimization problem that finds applications in ind...
We consider the standard pooling problem with a single quality parameter, which is a polynomial glob...
Our recent work globally optimized two classes of large-scale pooling problems: a generalized poolin...
« A global approach to solve pooling problem applied to feed mix industry » deals with the resolutio...
The pooling problem is an important global optimization problem which is encountered in many industr...
Research Doctorate - Doctor of Philosophy (PhD)This thesis presents advances in theory and applicati...
The pooling problem is an important global optimization problem which is encountered in many industr...
Discretization-based methods have been proposed for solving nonconvex optimization problems with bil...
The standard pooling problem is a NP-hard subclass of non-convex quadratically-constrained optimizat...
The pooling problem consists of finding the optimal quantity of final products to obtain by blendin...
Abstract: We present a model problem for global optimization in a specified number of un-knowns. We ...
The pooling problem is a frequently studied extension of the traditional minimum cost flow problem, ...
The computational challenge offered by many traditional network flow models is modest, and large-sca...
This paper presents a Python library to model pooling problems, a class of network flow problems wit...
We present a specific pooling model which, while simple, still uses bi-linear objective and constrai...
The pooling problem is a folklore NP-hard global optimization problem that finds applications in ind...
We consider the standard pooling problem with a single quality parameter, which is a polynomial glob...
Our recent work globally optimized two classes of large-scale pooling problems: a generalized poolin...
« A global approach to solve pooling problem applied to feed mix industry » deals with the resolutio...
The pooling problem is an important global optimization problem which is encountered in many industr...
Research Doctorate - Doctor of Philosophy (PhD)This thesis presents advances in theory and applicati...
The pooling problem is an important global optimization problem which is encountered in many industr...
Discretization-based methods have been proposed for solving nonconvex optimization problems with bil...
The standard pooling problem is a NP-hard subclass of non-convex quadratically-constrained optimizat...
The pooling problem consists of finding the optimal quantity of final products to obtain by blendin...
Abstract: We present a model problem for global optimization in a specified number of un-knowns. We ...
The pooling problem is a frequently studied extension of the traditional minimum cost flow problem, ...
The computational challenge offered by many traditional network flow models is modest, and large-sca...
This paper presents a Python library to model pooling problems, a class of network flow problems wit...