Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevi...
Portfolio selection is a relevant problem arising in finance and economics. While its basic formulations can be efficiently solved through linear or quadratic programming, its mor...
Luca Di Gaspero, Giacomo di Tollo, Andrea Roli, An...
Abstract. In this paper we define a class of truth-value assignments, called bounded assignments, using a certain substitutional property. We show that every satisfiable Boolean ...
The stable marriage problem has a wide variety of practical applications, ranging from matching resident doctors to hospitals, to matching students to schools, or more generally to...
Mirco Gelain, Maria Silvia Pini, Francesca Rossi, ...
Abstract. Methods exploiting problem symmetries have been very successful in several areas including constraint programming and SAT solving. We here recast a technique to enhance t...