Self-organizing neural networks (SONN) driven by softmax weight renormalization are capable of finding high quality solutions of difficult assignment optimization problems. The r...
Symmetry breaking in CSPs has attracted consid erable attention in recent years. Various general schemes have been proposed to eliminate sym metries during search. In general,...
Pascal Van Hentenryck, Pierre Flener, Justin Pears...
This paper introduces a metric that measures symmetry in tree graphs, which allows for a statistical characterization of GP solutions by their architectural "shapes." A ...
Solution symmetries in integer linear programs often yield long Branch-and-Bound based solution processes. We propose a method for finding elements of the permutation group of sol...
Abstract. Symmetry is a common feature of many combinatorial problems. Unfortunately eliminating all symmetry from a problem is often computationally intractable. This paper argues...