In the context of operative disruption management, decision support systems have to evaluate the typically manifold options of responding to disturbances: The temporal shift of ac...
The main purpose of this paper is to propose a Multi-Agent Autonomic and Bio-Inspired based framework with selfmanaging capabilities to solve complex scheduling problems using coo...
Abstract In this paper, we consider the problem of scheduling divisible loads onto an heterogeneous star platform, with both heterogeneous computing and communication resources. We...
The problem of short-term scheduling under uncertainty is addressed in this paper through a multiobjective optimization framework that incorporates economic expectation, robustnes...
— This paper provides a reformulation of closed-loop systems that have negative imaginary frequency response to closed-loop systems that have bounded gain, so that theory and res...