In this paper, we try to decrease the search space of an unconstrained optimization problem by symmetry breaking.We present a method for extracting symmetries ...
In summary, our main idea for solving global unconstrained optimization problems by symmetry-breaking is to add symmetry-breaking constraints to them. Next we.
In this paper, we try to decrease the search space of an unconstrained optimization problem by symmetry breaking.We present a method for extracting symmetries ...
Mar 17, 2011 · The optimal solution for a symmetric optimization problem - like many of the ones that show up in calculus texts - frequently has all variables equal.
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What type of optimization problem do we want to solve? Hybridize mechanistic, model-based optimization with surrogate models learned from data min x,y f0(x ...
This paper formulates and solves optimization problems constrained by trained graph neural networks (GNNs). To circumvent the symmetry issue caused by graph ...
Aug 9, 2016 · Zhang, Solving global unconstrained optimization problems by symmetry-breaking, in: 8th IEEE/ACIS International Conference on. Computer and ...
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Unconstrained optimization involves finding the maximum or minimum of a differentiable function of several variables over a nice set.
In this paper, we show that such symmetry breaking may induce slow convergence problems in gradient descent, in particular when the symmetry breaking is weak.
Developments in the theory and practice of unconstrained optimization are described. Both line search and trust region prototypes are explained and various.