Space constrained optimization problems arise in a variety of applications, ranging from databases to ubiquitous computing. Typically, these problems involve selecting a set of it...
Themis Palpanas, Nick Koudas, Alberto O. Mendelzon
This paper presents a new meta heuristic algorithm based on the search method called simulated annealing, and its application to solving multi objective simulation optimization pr...
Eduardo Alberto Avello, Felipe F. Baesler, Reinald...
We consider the bicriteria scheduling problem of minimizing the number of tardy jobs and average flowtime on a single machine. This problem, which is known to be NP-hard, is impor...
We present an efficient framework for dynamic reconfiguration of application-specific custom instructions. A key component of this framework is an iterative algorithm for temporal...
This paper deals with an NP-hard bi-objective one-machine problem with ready times involving maximum lateness and unit family setup cost objectives. Considering separately both ob...
Christian Artigues, Nicolas Jozefowiez, Mohamed Al...