Genetic algorithms are a robust adaptive optimization technique based on a biological paradigm. They perform efficient search on poorly-defined spaces by maintaining an ordered po...
The min-SHIFT DESIGN problem (MSD) is an important scheduling problem that needs to be solved in many industrial contexts. The issue is to find a minimum number of shifts and the...
Loop nest optimization is a combinatorial problem. Due to the growing complexity of modern architectures, it involves two increasingly difficult tasks: (1) analyzing the profita...
This paper presents a multiagent-system for integrating ALICE: a real-life, distributed, large-scale particle physics experiment of the LHC project at CERN. The work is concerned ...
—We propose a new parametric class of scheduling and routing policies for open multiclass queueing networks. We establish their stability and show they are amenable to distribute...
Ioannis Ch. Paschalidis, Chang Su, Michael Caraman...