187 search results - page 6 / 38 » Hedging Uncertainty: Approximation Algorithms for Stochastic... |
EMO
2005
Springer
15 years 7 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...
140
click to vote
CORR
2012
Springer
13 years 9 months ago
2012
Springer
Abstract— In this paper, we consider a class of continuoustime, continuous-space stochastic optimal control problems. Building upon recent advances in Markov chain approximation ...
104
Voted
CCE
2007
15 years 1 months ago
2007
This work describes a stochastic approach for the optimal placement of sensors in municipal water networks to detect maliciously injected contaminants. The model minimizes the exp...
132
click to vote
APPROX
2010
Springer
15 years 3 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...
124
click to vote
STOC
2004
ACM
16 years 1 months ago
2004
ACM
Several combinatorial optimization problems choose elements to minimize the total cost of constructing a feasible solution that satisfies requirements of clients. In the STEINER T...