231 search results - page 9 / 47 » Stochastic Optimization is (Almost) as easy as Deterministic... |
AAMAS
2010
Springer
13 years 7 months ago
2010
Springer
POMDPs and their decentralized multiagent counterparts, DEC-POMDPs, offer a rich framework for sequential decision making under uncertainty. Their computational complexity, howeve...
EMO
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...
EURONGI
2005
Springer
14 years 1 months ago
2005
Springer
We deploy a novel Reinforcement Learning optimization technique based on afterstates learning to determine the gain that can be achieved by incorporating movement prediction inform...
TMC
2010
13 years 5 months ago
2010
—Data storage has become an important issue in sensor networks as a large amount of collected data need to be archived for future information retrieval. Storage nodes are introdu...
APPROX
2010
Springer
13 years 9 months ago
2010
Springer
We consider optimization problems that can be formulated as minimizing the cost of a feasible solution wT x over an arbitrary combinatorial feasible set F {0, 1}n . For these pro...