27 search results - page 4 / 6 » A new robust optimization approach for scheduling under unce... |
ECAI
1998
Springer
13 years 10 months ago
1998
Springer
Progressive processing allows a system to satisfy a set of requests under time pressure by limiting the amount of processing allocated to each task based on a predefined hierarchic...
AAAI
2006
13 years 7 months ago
2006
Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...
ATAL
2009
Springer
14 years 25 days ago
2009
Springer
Predictable allocations of security resources such as police officers, canine units, or checkpoints are vulnerable to exploitation by attackers. Recent work has applied game-theo...
AUTOMATICA
2005
13 years 6 months ago
2005
This paper proposes a quadratic programming (QP) approach to robust model predictive control (MPC) for constrained linear systems having both model uncertainties and bounded distu...
GECCO
2008
Springer
13 years 7 months ago
2008
Springer
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...