Abstract. We show that a maximum cut of a random graph below the giantcomponent threshold can be found in linear space and linear expected time by a simple algorithm. In fact, the ...
Column generation is a state-of-the-art method for optimally solving di cult large-scale optimization problems such as airline crew assignment. We show how to apply column generati...
Ulrich Junker, Stefan E. Karisch, Niklas Kohl, Bo ...
Many optimization problems require the satisfaction of constraints in addition to their objectives. When using an evolutionary algorithm to solve such problems, these constraints c...
This paper introduces a new algorithm for solving a subclass of quantified constraint satisfaction problems (QCSP) where existential quantifiers precede universally quantified ine...
Alexandre Goldsztejn, Claude Michel, Michel Rueher
Abstract. This paper considers the automatic generation of architectural tests (ATGP), a fundamental problem in processor validation. ATGPs are complex conditional constraint satis...
Pascal Van Hentenryck, Carleton Coffrin, Boris Gut...