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» Modelling Uncertainty in Agent Programming
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ISQED
2005
IEEE
125views Hardware» more  ISQED 2005»
15 years 6 months ago
A New Method for Design of Robust Digital Circuits
As technology continues to scale beyond 100nm, there is a significant increase in performance uncertainty of CMOS logic due to process and environmental variations. Traditional c...
Dinesh Patil, Sunghee Yun, Seung-Jean Kim, Alvin C...
125
Voted
MOZ
2004
Springer
15 years 5 months ago
Implementing Semiring-Based Constraints Using Mozart
Abstract. Although Constraint Programming (CP) is considered a useful tool for tackling combinatorial problems, its lack of flexibility when dealing with uncertainties and prefere...
Alberto Delgado, Carlos Alberto Olarte, Jorge Andr...
ECAI
2010
Springer
15 years 1 months ago
On Finding Compromise Solutions in Multiobjective Markov Decision Processes
A Markov Decision Process (MDP) is a general model for solving planning problems under uncertainty. It has been extended to multiobjective MDP to address multicriteria or multiagen...
Patrice Perny, Paul Weng
COR
2010
155views more  COR 2010»
15 years 16 days ago
A memetic algorithm for the multi-compartment vehicle routing problem with stochastic demands
The Multi-Compartment Vehicle Routing Problem (MC-VRP) consists of designing transportation routes to satisfy the demands of a set of costumers for several products that because o...
Jorge E. Mendoza, Bruno Castanier, Christelle Gu&e...
MP
2002
110views more  MP 2002»
15 years 3 days ago
Robust optimization - methodology and applications
Abstract. Robust Optimization (RO) is a modeling methodology, combined with computational tools, to process optimization problems in which the data are uncertain and is only known ...
Aharon Ben-Tal, Arkadi Nemirovski