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EMO
2001
Springer
71views Optimization» more  EMO 2001»
15 years 10 months ago
Inferential Performance Assessment of Stochastic Optimisers and the Attainment Function
Abstract The performance of stochastic optimisers can be assessed experimentally on given problems by performing multiple optimisation runs, and analysing the results. Since an opt...
Viviane Grunert da Fonseca, Carlos M. Fonseca, And...
DEDS
2006
78views more  DEDS 2006»
15 years 6 months ago
The Equivalence between Ordinal Optimization in Deterministic Complex Problems and in Stochastic Simulation Problems
In the last decade ordinal optimization (OO) has been successfully applied in many stochastic simulation-based optimization problems (SP) and deterministic complex problems (DCP). ...
Yu-Chi Ho, Qing-Shan Jia, Qianchuan Zhao
ANOR
2006
133views more  ANOR 2006»
15 years 6 months ago
Horizon and stages in applications of stochastic programming in finance
To solve a decision problem under uncertainty via stochastic programming means to choose or to build a suitable stochastic programming model taking into account the nature of the r...
Marida Bertocchi, Vittorio Moriggia, Jitka Dupacov...
ICCAD
2007
IEEE
99views Hardware» more  ICCAD 2007»
16 years 3 months ago
Temperature aware microprocessor floorplanning considering application dependent power load
This paper studies microprocessor floorplanning considering thermal and throughput optimization. We first develop a stochastic heat diffusion model taking into account the appl...
Chunta Chu, Xinyi Zhang, Lei He, Tong Jing
ATAL
2005
Springer
15 years 12 months ago
Game theoretic Golog under partial observability
We present the agent programming language POGTGolog, which combines explicit agent programming in Golog with game-theoretic multi-agent planning in a special kind of partially obs...
Alberto Finzi, Thomas Lukasiewicz