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» Simulation Optimization: Methods and Applications
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SIGGRAPH
2000
ACM
15 years 10 months ago
A simple, efficient method for realistic animation of clouds
This paper proposes a simple and computationally inexpensive method for animation of clouds. The cloud evolution is simulated using cellular automaton that simplifies the dynamics...
Yoshinori Dobashi, Kazufumi Kaneda, Hideo Yamashit...
JUCS
2006
107views more  JUCS 2006»
15 years 6 months ago
Sequential Data Assimilation: Information Fusion of a Numerical Simulation and Large Scale Observation Data
: Data assimilation is a method of combining an imperfect simulation model and a number of incomplete observation data. Sequential data assimilation is a data assimilation in which...
Kazuyuki Nakamura, Tomoyuki Higuchi, Naoki Hirose
WSC
2001
15 years 7 months ago
Global random optimization by simultaneous perturbation stochastic approximation
We examine the theoretical and numerical global convergence properties of a certain "gradient free" stochastic approximation algorithm called the "simultaneous pertu...
John L. Maryak, Daniel C. Chin
WSC
2007
15 years 8 months ago
Extension of the direct optimization algorithm for noisy functions
DIRECT (DIviding RECTangles) is a deterministic global optimization algorithm for bound-constrained problems. The algorithm, based on a space-partitioning scheme, performs both gl...
Geng Deng, Michael C. Ferris
CPHYSICS
2006
127views more  CPHYSICS 2006»
15 years 6 months ago
GenAnneal: Genetically modified Simulated Annealing
A modification of the standard Simulated Annealing (SA) algorithm is presented for finding the global minimum of a continuous multidimensional, multimodal function. We report resu...
Ioannis G. Tsoulos, Isaac E. Lagaris