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DAGSTUHL
2007
15 years 8 months ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic Optimization
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys
CN
2010
103views more  CN 2010»
15 years 6 months ago
Continuum equilibria and global optimization for routing in dense static ad hoc networks
We consider massively dense ad hoc networks and study their continuum limits as the node density increases and as the graph providing the available routes becomes a continuous area...
Alonso Silva, Eitan Altman, Pierre Bernhard, M&eac...
CEC
2009
IEEE
15 years 4 months ago
Optimization of low-thrust Earth-Moon transfers using evolutionary neurocontrol
Although low-thrust propulsion is an interesting option for scientific and reconnaissance missions to targets in planetary space, like the Moon, associated transfer strategies pose...
Andreas Ohndorf, B. Dachwald, E. Gill
WSC
2004
15 years 8 months ago
Efficient Simulation-Based Discrete Optimization
In many practical applications of simulation it is desirable to optimize the levels of integer or binary variables that are inputs for the simulation model. In these cases, the ob...
Seth D. Guikema, Rachel A. Davidson, Zehra Ç...
CCE
2010
15 years 4 months ago
Optimizing the design of complex energy conversion systems by Branch and Cut
The paper examines the applicability of mathematical programming methods to the simultaneous optimization of the structure and the operational parameters of a combined-cycle-based...
Turang Ahadi-Oskui, Stefan Vigerske, Ivo Nowak, Ge...