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» Kolmogorov-Loveland Randomness and Stochasticity
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ACG
2006
Springer
14 years 1 months ago
RSPSA: Enhanced Parameter Optimization in Games
Most game programs have a large number of parameters that are crucial for their performance. Tuning these parameters by hand is rather difficult. Therefore automatic optimization a...
Levente Kocsis, Csaba Szepesvári, Mark H. M...
ACRI
2006
Springer
14 years 1 months ago
In Search of Cellular Automata Reproducing Chaotic Dynamics Described by Logistic Formula
Two-dimensional cellular automata (CA) systems are widely used for modeling spatio-temporal dynamics of evolving populations. Conversely, the logistic equation is a 1-D model descr...
Witold Dzwinel
ISCAS
2005
IEEE
133views Hardware» more  ISCAS 2005»
14 years 1 months ago
Multiobjective VLSI cell placement using distributed simulated evolution algorithm
— Simulated Evolution (SimE) is a sound stochastic approximation algorithm based on the principles of adaptation. If properly engineered it is possible for SimE to reach nearopti...
Sadiq M. Sait, Ali Mustafa Zaidi, Mustafa I. Ali
SIGMOD
2000
ACM
141views Database» more  SIGMOD 2000»
14 years 14 hour ago
Counting, Enumerating, and Sampling of Execution Plans in a Cost-Based Query Optimizer
Testing an SQL database system by running large sets of deterministic or stochastic SQL statements is common practice in commercial database development. However, code defects oft...
Florian Waas, César A. Galindo-Legaria
SMA
1993
ACM
107views Solid Modeling» more  SMA 1993»
13 years 11 months ago
Relaxed parametric design with probabilistic constraints
: Parametric design is an important modeling paradigm in computer aided design. Relationships (constraints) between the degrees of freedom (DOFs) of the model, instead of the DOFs ...
Yacov Hel-Or, Ari Rappoport, Michael Werman